From 6b3138784acdfd69a867dfff5935a28a667912c9 Mon Sep 17 00:00:00 2001 From: Reinier Koops Date: Thu, 21 Mar 2024 19:10:17 +0100 Subject: [PATCH 1/3] remove, refactor and simplify implementaiton --- LICENCE | 2 +- docs/tutorials/nb_custom_scoring.ipynb | 172 - .../nb_shap_feature_elimination.ipynb | 182800 ++++++++++++++- .../feature_elimination.py | 282 +- probatus/interpret/model_interpret.py | 13 +- .../sample_similarity/resemblance_model.py | 18 +- probatus/utils/__init__.py | 7 +- probatus/utils/arrayfuncs.py | 65 +- probatus/utils/exceptions.py | 13 - probatus/utils/scoring.py | 127 - probatus/utils/shap_helpers.py | 85 +- tests/docs/test_docstring.py | 1 - 12 files changed, 178776 insertions(+), 4809 deletions(-) delete mode 100644 docs/tutorials/nb_custom_scoring.ipynb delete mode 100644 probatus/utils/scoring.py diff --git a/LICENCE b/LICENCE index cd84b7e5..10f15293 100644 --- a/LICENCE +++ b/LICENCE @@ -1,4 +1,4 @@ -Copyright (c) 2020 ING Bank N.V. +Copyright (c) ING Bank N.V. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: diff --git a/docs/tutorials/nb_custom_scoring.ipynb b/docs/tutorials/nb_custom_scoring.ipynb deleted file mode 100644 index a60a85af..00000000 --- a/docs/tutorials/nb_custom_scoring.ipynb +++ /dev/null @@ -1,172 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Custom Scoring Metrics\n", - "\n", - "[![open in colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ing-bank/probatus/blob/master/docs/tutorials/nb_custom_scoring.ipynb)\n", - "\n", - "In many features of probatus, the user can provide the `scoring` parameter. The parameter can be one of the following:\n", - "\n", - "- String indicating the scoring metric, one of the [classification scorers names in sklearn](https://scikit-learn.org/stable/modules/model_evaluation.html).\n", - "- Object of a class Scorer from probatus.utils.Scorer. This object encapsulates the scoring metric name and the scorer used to calculate the model performance.\n", - "\n", - "The following tutorial will present how the `scoring` parameter can be used on the example of a Resemblance Model.\n", - "\n", - "## Setup\n", - "\n", - "Let's prepare some data:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%capture\n", - "!pip install probatus" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import pandas as pd\n", - "from sklearn.datasets import make_classification\n", - "from sklearn.ensemble import RandomForestClassifier\n", - "from sklearn.metrics import make_scorer\n", - "\n", - "from probatus.sample_similarity import SHAPImportanceResemblance\n", - "from probatus.utils import Scorer\n", - "\n", - "# Prepare two samples\n", - "feature_names = [\"f1\", \"f2\", \"f3\", \"f4\"]\n", - "X1 = pd.DataFrame(make_classification(n_samples=1000, n_features=4, random_state=0)[0], columns=feature_names)\n", - "X2 = pd.DataFrame(\n", - " make_classification(n_samples=1000, n_features=4, shift=0.5, random_state=0)[0], columns=feature_names\n", - ")\n", - "\n", - "# Prepare model\n", - "model = RandomForestClassifier(n_estimators=100, max_depth=2, random_state=0)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Standard metrics\n", - "\n", - "Now, we can set the `scoring` parameter as a string:" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Train Accuracy: 0.708,\n", - "Test Accuracy: 0.714.\n" - ] - } - ], - "source": [ - "rm = SHAPImportanceResemblance(model, scoring=\"accuracy\")\n", - "feature_importance, train_score, test_score = rm.fit_compute(X1, X2, column_names=feature_names, return_scores=True)\n", - "\n", - "print(f\"Train Accuracy: {np.round(train_score, 3)},\\n\" f\"Test Accuracy: {np.round(test_score, 3)}.\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Custom metric" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's make a custom function (in this case accuracy as well), that we want to use for scoring and use it within ShapImportanceResemblance" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Train custom_metric: 0.725,\n", - "Test custom_metric: 0.72.\n" - ] - } - ], - "source": [ - "def custom_metric(y_true, y_pred):\n", - " return np.sum(y_true == y_pred) / len(y_true)\n", - "\n", - "\n", - "scorer = Scorer(\"custom_metric\", custom_scorer=make_scorer(custom_metric))\n", - "\n", - "rm2 = SHAPImportanceResemblance(model, scoring=scorer)\n", - "feature_importance2, train_score2, test_score2 = rm2.fit_compute(X1, X2, column_names=feature_names, return_scores=True)\n", - "\n", - "print(f\"Train custom_metric: {np.round(train_score2, 3)},\\n\" f\"Test custom_metric: {np.round(test_score2, 3)}.\")" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "figure = rm2.plot()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.13" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/tutorials/nb_shap_feature_elimination.ipynb b/docs/tutorials/nb_shap_feature_elimination.ipynb index e6c93323..ff0b205f 100644 --- a/docs/tutorials/nb_shap_feature_elimination.ipynb +++ b/docs/tutorials/nb_shap_feature_elimination.ipynb @@ -104,6 +104,8 @@ ")\n", "X = pd.DataFrame(X, columns=feature_names)\n", "\n", + "# Make missing nr consistent\n", + "np.random.seed(42)\n", "X[\"f2_missing\"] = X[\"f2_missing\"].apply(lambda x: x if np.random.rand() < 0.8 else np.nan)\n", "X[\"f3_static\"] = 0" ] @@ -153,7 +155,7 @@ " \n", " 1\n", " -2.480698\n", - " 0.772855\n", + " NaN\n", " 0\n", " 0.302824\n", " 0.729950\n", @@ -177,7 +179,7 @@ " \n", " 4\n", " -1.028435\n", - " NaN\n", + " 1.505766\n", " 0\n", " -0.576209\n", " -0.790525\n", @@ -189,10 +191,10 @@ "text/plain": [ " f1 f2_missing f3_static f4 f5\n", "0 3.399287 -3.902230 0 0.037207 -0.211075\n", - "1 -2.480698 0.772855 0 0.302824 0.729950\n", + "1 -2.480698 NaN 0 0.302824 0.729950\n", "2 -0.690014 1.350847 0 1.837895 -0.745689\n", "3 -5.291164 4.559465 0 -1.277930 3.688404\n", - "4 -1.028435 NaN 0 -0.576209 -0.790525" + "4 -1.028435 1.505766 0 -0.576209 -0.790525" ] }, "execution_count": 3, @@ -253,357 +255,357 @@ "output_type": "stream", "text": [ "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000574 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000348 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000347 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000375 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000347 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000366 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.004609 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000556 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000341 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000339 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000347 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000412 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000409 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000350 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000356 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000336 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000806 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000397 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000350 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000375 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000349 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4845\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", @@ -611,2088 +613,2085 @@ "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000408 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000790 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4831\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000429 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4830\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000583 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000873 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", - "[LightGBM] [Info] Total Bins 4832\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000594 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000514 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000449 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Total Bins 4830\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000531 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000957 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Total Bins 4836\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000543 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4831\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000513 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000383 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4831\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000491 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000773 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4832\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000495 seconds.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000777 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Total Bins 4831\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000333 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000516 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Total Bins 4831\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Total Bins 4040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4044\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4041\n", + "[LightGBM] [Info] Total Bins 4038\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Total Bins 4040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4044\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000351 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4041\n", + "[LightGBM] [Info] Total Bins 4038\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Total Bins 4040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4044\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4041\n", + "[LightGBM] [Info] Total Bins 4038\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Total Bins 4040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4044\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4041\n", + "[LightGBM] [Info] Total Bins 4038\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Total Bins 4040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4044\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4041\n", + "[LightGBM] [Info] Total Bins 4038\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Total Bins 4040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4044\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4041\n", + "[LightGBM] [Info] Total Bins 4038\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Total Bins 4040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4044\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4041\n", + "[LightGBM] [Info] Total Bins 4038\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Total Bins 4040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4044\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4041\n", + "[LightGBM] [Info] Total Bins 4038\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Total Bins 4040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4044\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4041\n", + "[LightGBM] [Info] Total Bins 4038\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Total Bins 4040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000351 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4044\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000339 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4041\n", + "[LightGBM] [Info] Total Bins 4038\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4080\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000340 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4066\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000451 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Total Bins 4067\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000489 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", - "\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000604 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4067\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", - "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000704 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000440 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Total Bins 4071\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000588 seconds.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000558 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Total Bins 4067\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000491 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000557 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4066\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000880 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000548 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4067\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000593 seconds.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000391 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Total Bins 4066\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001153 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000505 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Total Bins 4066\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000168 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000324 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000370 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000404 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000492 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000880 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001137 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000394 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000612 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000959 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000441 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000971 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002023 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000382 seconds.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001259 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000701 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000981 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000667 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000177 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000593 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000406 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000326 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000636 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000429 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000343 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000524 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000366 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000362 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000501 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000474 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000791 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000374 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000471 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000694 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000355 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000169 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000161 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000363 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000510 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000507 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000418 seconds.\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000463 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", - "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000508 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000346 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000356 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000389 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000820 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000760 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000505 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000445 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000424 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000742 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000670 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000375 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000496 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000170 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000151 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", @@ -2706,148 +2705,147 @@ "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000378 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000687 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", - "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000775 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000367 seconds.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000681 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000354 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000690 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000940 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000815 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000387 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000801 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001577 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", @@ -2861,917 +2859,919 @@ "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000145 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000094 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000171 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000167 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000374 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000525 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000483 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000534 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000397 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000386 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000165 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000161 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000161 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000167 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000153 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000168 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000153 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000160 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000347 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000558 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000830 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", - "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000428 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000349 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000395 seconds.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000830 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000625 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000400 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000839 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000092 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000167 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000147 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000144 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", @@ -3785,175 +3785,175 @@ "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000177 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000412 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000174 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000163 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000171 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000161 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", @@ -3967,1305 +3967,1304 @@ "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000167 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000154 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000139 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000336 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000351 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000335 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000462 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000422 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000573 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", - "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000350 seconds.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455[LightGBM] [Info] Start training from score -0.000000\n", + "\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000782 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000174 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000151 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000163 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000117 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000151 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000162 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000166 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000147 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000158 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000161 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000151 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000081 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000151 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000162 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000140 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000145 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000099 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000146 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000162 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000162 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000393 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000345 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000449 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000458 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000359 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000580 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000537 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000155 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000167 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000153 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000174 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000153 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000168 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000167 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000147 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000169 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000146 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000168 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000174 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000154 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000151 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000168 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000141 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000162 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000150 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000153 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000160 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000113 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000174 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000162 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000156 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000152 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000174 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000170 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000156 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000146 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000157 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000122 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000139 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000353 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000404 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000341 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000408 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000474 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000390 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000437 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 765\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 3\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000160 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000161 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000160 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000174 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000122 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000154 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000141 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000167 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000168 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000169 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000118 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000169 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000150 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000166 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000145 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000152 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000103 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000154 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000165 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000164 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000150 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000145 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000168 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000134 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000174 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000161 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000159 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000167 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000151 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000142 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", @@ -5279,161 +5278,162 @@ "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000156 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000166 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000339 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000154 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000402 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 510\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 2\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000170 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000086 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000130 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000108 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000131 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000166 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000163 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", @@ -5447,364 +5447,364 @@ "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000169 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000134 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000174 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000152 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000164 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000156 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000163 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000163 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000177 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000142 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000174 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000167 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000164 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000174 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000169 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000145 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000156 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000123 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000155 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000126 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000171 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000146 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000168 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000139 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000161 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000157 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000157 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000145 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000162 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000168 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000406 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000166 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000457 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000358 seconds.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000753 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 1\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000374 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000900 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000708 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000431 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000657 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 1\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000366 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000579 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 1\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000542 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 255\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 1\n", @@ -5861,13 +5861,13 @@ " 1\n", " 20\n", " [f1, f2_missing, f3_static, f4, f5, f6, f7, f8...\n", - " 0.923000\n", + " 0.904975\n", " \n", " \n", " 2\n", " 16\n", - " [f1, f2_missing, f4, f5, f8, f9, f10, f11, f12...\n", - " 0.923040\n", + " [f1, f2_missing, f5, f7, f8, f9, f10, f11, f12...\n", + " 0.923160\n", " \n", " \n", " 3\n", @@ -5885,7 +5885,7 @@ " 5\n", " 9\n", " [f5, f8, f9, f11, f14, f15, f16, f19, f20]\n", - " 0.903575\n", + " 0.931904\n", " \n", " \n", " 6\n", @@ -5903,7 +5903,7 @@ " 8\n", " 6\n", " [f5, f9, f14, f15, f16, f19]\n", - " 0.889271\n", + " 0.910097\n", " \n", " \n", " 9\n", @@ -5942,7 +5942,7 @@ "text/plain": [ " num_features features_set \\\n", "1 20 [f1, f2_missing, f3_static, f4, f5, f6, f7, f8... \n", - "2 16 [f1, f2_missing, f4, f5, f8, f9, f10, f11, f12... \n", + "2 16 [f1, f2_missing, f5, f7, f8, f9, f10, f11, f12... \n", "3 13 [f1, f5, f8, f9, f10, f11, f12, f14, f15, f16,... \n", "4 11 [f5, f8, f9, f10, f11, f14, f15, f16, f18, f19... \n", "5 9 [f5, f8, f9, f11, f14, f15, f16, f19, f20] \n", @@ -5956,14 +5956,14 @@ "13 1 [f16] \n", "\n", " val_metric_mean \n", - "1 0.923000 \n", - "2 0.923040 \n", + "1 0.904975 \n", + "2 0.923160 \n", "3 0.923200 \n", "4 0.923381 \n", - "5 0.903575 \n", + "5 0.931904 \n", "6 0.910296 \n", "7 0.919259 \n", - "8 0.889271 \n", + "8 0.910097 \n", "9 0.888632 \n", "10 0.879369 \n", "11 0.869466 \n", @@ -5997,7 +5997,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -6055,1464 +6055,1464 @@ "output_type": "stream", "text": [ "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000607 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000361 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000348 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000668 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000346 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000633 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000378 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000335 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000340 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000360 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000360 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000353 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000358 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000346 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000170 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000386 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4845\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000342 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000529 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4831\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000389 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000531 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Total Bins 4832\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000385 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4832\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000471 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000367 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Total Bins 4830\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000353 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Total Bins 4836\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000324 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000338 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Total Bins 4832\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000576 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000660 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4831\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000449 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000682 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4832\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000542 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000549 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Total Bins 4831\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000437 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000654 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Total Bins 4831\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000346 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4293\n", + "[LightGBM] [Info] Total Bins 4295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4294\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000382 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4299\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4294\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4296\n", + "[LightGBM] [Info] Total Bins 4293\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4293\n", + "[LightGBM] [Info] Total Bins 4295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4294\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4299\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4294\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4296\n", + "[LightGBM] [Info] Total Bins 4293\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4293\n", + "[LightGBM] [Info] Total Bins 4295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4294\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4299\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4294\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4296\n", + "[LightGBM] [Info] Total Bins 4293\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4293\n", + "[LightGBM] [Info] Total Bins 4295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4294\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4299\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4294\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4296\n", + "[LightGBM] [Info] Total Bins 4293\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4293\n", + "[LightGBM] [Info] Total Bins 4295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4294\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4299\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000361 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4294\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4296\n", + "[LightGBM] [Info] Total Bins 4293\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4293\n", + "[LightGBM] [Info] Total Bins 4295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4294\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4299\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4294\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4296\n", + "[LightGBM] [Info] Total Bins 4293\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4293\n", + "[LightGBM] [Info] Total Bins 4295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4294\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4299\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4294\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4296\n", + "[LightGBM] [Info] Total Bins 4293\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4293\n", + "[LightGBM] [Info] Total Bins 4295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4294\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4299\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4294\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4296\n", + "[LightGBM] [Info] Total Bins 4293\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4293\n", + "[LightGBM] [Info] Total Bins 4295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4294\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4299\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4294\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4296\n", + "[LightGBM] [Info] Total Bins 4293\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4293\n", + "[LightGBM] [Info] Total Bins 4295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4294\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4299\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4295\n", + "[LightGBM] [Info] Total Bins 4294\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4296\n", + "[LightGBM] [Info] Total Bins 4293\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000349 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4335\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000362 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4321\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4320\n", + "[LightGBM] [Info] Total Bins 4322\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", - "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000350 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4322\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000395 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4321\n", + "[LightGBM] [Info] Total Bins 4320\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000419 seconds.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000733 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4322\n", + "[LightGBM] [Info] Total Bins 4326\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000362 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000829 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4321\n", + "[LightGBM] [Info] Total Bins 4322\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000469 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4321\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000480 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000370 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4322\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000441 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000642 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4322\n", + "[LightGBM] [Info] Total Bins 4321\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000379 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000631 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4322\n", + "[LightGBM] [Info] Total Bins 4321\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 17\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3783\n", + "[LightGBM] [Info] Total Bins 3785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000335 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3784\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3789\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3784\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3786\n", + "[LightGBM] [Info] Total Bins 3783\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3783\n", + "[LightGBM] [Info] Total Bins 3785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3784\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3789\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3784\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3786\n", + "[LightGBM] [Info] Total Bins 3783\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3783\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 3785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3784\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000346 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3789\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3784\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000364 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3786\n", + "[LightGBM] [Info] Total Bins 3783\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000495 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3783\n", + "[LightGBM] [Info] Total Bins 3785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3784\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3789\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3784\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3786\n", + "[LightGBM] [Info] Total Bins 3783\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3783\n", + "[LightGBM] [Info] Total Bins 3785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3784\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3789\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3784\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3786\n", + "[LightGBM] [Info] Total Bins 3783\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3783\n", + "[LightGBM] [Info] Total Bins 3785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3784\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3789\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3784\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3786\n", + "[LightGBM] [Info] Total Bins 3783\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3783\n", + "[LightGBM] [Info] Total Bins 3785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3784\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000366 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3789\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3784\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3786\n", + "[LightGBM] [Info] Total Bins 3783\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3783\n", + "[LightGBM] [Info] Total Bins 3785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3784\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000335 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3789\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3784\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3786\n", + "[LightGBM] [Info] Total Bins 3783\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3783\n", + "[LightGBM] [Info] Total Bins 3785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000329 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3784\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3789\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000338 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3784\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3786\n", + "[LightGBM] [Info] Total Bins 3783\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3783\n", + "[LightGBM] [Info] Total Bins 3785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3784\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3789\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3785\n", + "[LightGBM] [Info] Total Bins 3784\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3786\n", + "[LightGBM] [Info] Total Bins 3783\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3825\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3811\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000661 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3810\n", + "[LightGBM] [Info] Total Bins 3812\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000387 seconds.\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3812\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", - "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000482 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3811\n", + "[LightGBM] [Info] Total Bins 3810\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000365 seconds.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000634 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3812\n", + "[LightGBM] [Info] Total Bins 3816\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000452 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000778 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3811\n", + "[LightGBM] [Info] Total Bins 3812\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000392 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000703 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3811\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000563 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3812\n", + "[LightGBM] [Info] Total Bins 3812[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000424 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000610 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3812\n", + "[LightGBM] [Info] Total Bins 3811\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000445 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000567 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3812\n", + "[LightGBM] [Info] Total Bins 3811\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 15\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001090 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000383 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000156 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000348 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", @@ -7526,323 +7526,322 @@ "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000351 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000371 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000329 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000462 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000490 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000509 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000342 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000404 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000436 seconds.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000363 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000366 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000372 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000471 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000355 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000503 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001531 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", @@ -7856,1274 +7855,1275 @@ "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000525 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000466 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000344 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000345 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000688 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000357 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000676 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000383 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000439 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000362 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000405 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000339 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000351 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000356 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000158 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000171 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000463 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000394 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000542 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000511 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000514 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000350 seconds.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000528 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000398 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000684 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000694 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000377 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000418 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 10\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000456 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000366 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2550\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 10\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000341 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000177 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000158 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000168 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000426 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000112 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000386 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000419 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000462 seconds.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005046 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005706 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003726 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000398 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000434 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000464 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000166 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000167 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", @@ -9137,1465 +9137,1463 @@ "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000170 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000462 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000372 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000500 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000341 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000487 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000405 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000364 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000386 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000446 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2040\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000174 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000177 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000361 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000165 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000129 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000163 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000161 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000382 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000439 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000463 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000367 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000378 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000476 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000421 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000408 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000440 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000614 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000361 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000819 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000399 seconds.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000689 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000497 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000658 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000729 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1785\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000166 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000169 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000164 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000160 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000169 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000148 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000481 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000426 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000449 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000498 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000341 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000402 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000553 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000352 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000412 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1530\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000164 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000168 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000117 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000146 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000145 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000162 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000177 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000143 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000160 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000163 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000159 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", @@ -10609,70 +10607,70 @@ "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000169 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000161 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000150 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000165 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", @@ -10686,119 +10684,119 @@ "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000416 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000329 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000431 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000471 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000339 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000352 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000387 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000438 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000336 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1275\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", @@ -10812,373 +10810,372 @@ "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000124 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000170 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000155 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000171 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000160 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000177 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000168 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000133 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000121 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000472 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000168 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000168 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000151 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000391 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000480 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000433 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000399 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000343 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000434 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001105 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000509 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000411 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000433 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 1020\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", @@ -11188,7 +11185,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -11246,7 +11243,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -11254,357 +11251,357 @@ "output_type": "stream", "text": [ "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000669 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002446 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000444 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.006163 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001848 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000343 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001018 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000711 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000394 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000578 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000541 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000436 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000366 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000595 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000384 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000457 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000356 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000379 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000333 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000395 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000326 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000340 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000174 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000389 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000353 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000361 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000433 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000362 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000339 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000350 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001122 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000670 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000411 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000376 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Total Bins 4805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000329 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4809\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000355 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Total Bins 4804\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4806\n", + "[LightGBM] [Info] Total Bins 4803\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4845\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", @@ -11619,17 +11616,17 @@ "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000562 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000777 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4831\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000536 seconds.\n", + "[LightGBM] [Info] Total Bins 4832[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000775 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4830\n", + "\n", + "[LightGBM] [Info] Total Bins 4832\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000530 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000908 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Total Bins 4831\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", @@ -11644,13 +11641,13 @@ "Training until validation scores don't improve for 5 rounds\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.465827\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", "Evaluated only: binary_logloss\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.454783\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", "Evaluated only: binary_logloss\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.454006\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", @@ -11660,33 +11657,33 @@ "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000514 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000393 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Total Bins 4830\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000442 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", - "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000660 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000522 seconds.\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000814 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Total Bins 4832\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", @@ -11695,7 +11692,6 @@ "[10]\tvalid_0's binary_logloss: 0.513013\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", "[10]\tvalid_0's binary_logloss: 0.468752\n", "Evaluated only: binary_logloss\n", @@ -11708,47 +11704,49 @@ "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000355 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000380 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", "[LightGBM] [Info] Total Bins 4831\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", - "[LightGBM] [Info] Start training from score -0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000658 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4832\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000401 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000805 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4832\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000890 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.476738\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.483996\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", "Evaluated only: binary_logloss\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.534713\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", @@ -11757,371 +11755,371 @@ "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000335 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000425 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Total Bins 4831\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.505899\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000629 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Total Bins 4040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4044\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4041\n", + "[LightGBM] [Info] Total Bins 4038\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Total Bins 4040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4044\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4041\n", + "[LightGBM] [Info] Total Bins 4038\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Total Bins 4040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000174 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4044\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4041\n", + "[LightGBM] [Info] Total Bins 4038\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Total Bins 4040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4044\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4041\n", + "[LightGBM] [Info] Total Bins 4038\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Total Bins 4040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4044\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4041\n", + "[LightGBM] [Info] Total Bins 4038\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Total Bins 4040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4044\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4041\n", + "[LightGBM] [Info] Total Bins 4038\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Total Bins 4040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4044\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4041\n", + "[LightGBM] [Info] Total Bins 4038\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Total Bins 4040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000352 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4044\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4041\n", + "[LightGBM] [Info] Total Bins 4038\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Total Bins 4040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4044\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4041\n", + "[LightGBM] [Info] Total Bins 4038\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Total Bins 4040\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4044\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Total Bins 4039\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4041\n", + "[LightGBM] [Info] Total Bins 4038\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000359 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4080\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", @@ -12130,7 +12128,7 @@ "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4066\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", @@ -12139,84 +12137,84 @@ "[LightGBM] [Info] Start training from score 0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.473584\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Total Bins 4065\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", - "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000409 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "Training until validation scores don't improve for 5 rounds\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000372 seconds.\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000389 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000439 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000602 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Total Bins 4065\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.490241\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.484878\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.528974\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000343 seconds.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000540 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Total Bins 4071\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", - "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000367 seconds.\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000578 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Total Bins 4067\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000420 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000637 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4066\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", @@ -12225,301 +12223,301 @@ "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.498454\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.470442\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.513266\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000345 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000411 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "Training until validation scores don't improve for 5 rounds\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000350 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000545 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Total Bins 4066\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000480 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000860 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 4067\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Total Bins 4066\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.556948\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.515432\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.515026\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000169 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000351 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000167 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000462 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000344 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", @@ -12533,112 +12531,112 @@ "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", @@ -12647,41 +12645,43 @@ "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000343 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000352 seconds.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000516 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000421 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "\n", "[LightGBM] [Info] Start training from score 0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000482 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", "[10]\tvalid_0's binary_logloss: 0.454296\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "Training until validation scores don't improve for 5 rounds\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", "Did not meet early stopping. Best iteration is:\n", "[10]\tvalid_0's binary_logloss: 0.454006\n", "Evaluated only: binary_logloss\n", @@ -12689,95 +12689,94 @@ "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.465827\n", - "Evaluated only: binary_logloss\n", - "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000362 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3315\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", - "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000336 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000560 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", - "[LightGBM] [Info] Start training from score -0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", - "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.513013\n", - "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000354 seconds.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000798 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000784 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", "Did not meet early stopping. Best iteration is:\n", "[10]\tvalid_0's binary_logloss: 0.468719\n", "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000342 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 3315\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", - "[LightGBM] [Info] Start training from score -0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", - "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.452793\n", - "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000531 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", - "[LightGBM] [Info] Start training from score -0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", - "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.476738\n", - "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000855 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000440 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000592 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", "Did not meet early stopping. Best iteration is:\n", "[10]\tvalid_0's binary_logloss: 0.534713\n", "Evaluated only: binary_logloss\n", @@ -12785,8 +12784,12 @@ "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000423 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 3315\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", @@ -12795,368 +12798,362 @@ "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.483996\n", - "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "Did not meet early stopping. Best iteration is:\n", "[10]\tvalid_0's binary_logloss: 0.506466\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000169 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000161 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000171 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", @@ -13165,7 +13162,7 @@ "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", @@ -13176,17 +13173,7 @@ "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000416 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2805\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", - "[LightGBM] [Info] Start training from score 0.000000\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000427 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", @@ -13194,27 +13181,22 @@ "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "Training until validation scores don't improve for 5 rounds\n", - "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.478752\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.478448\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", "Evaluated only: binary_logloss\n", - "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.482626\n", - "Evaluated only: binary_logloss[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", @@ -13223,45 +13205,45 @@ "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000423 seconds.\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000348 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000383 seconds.\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000446 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", - "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", - "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.528974\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.471477\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.485633\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000373 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", @@ -13272,17 +13254,18 @@ "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000382 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000451 seconds.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", @@ -13290,26 +13273,36 @@ "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", - "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.500004\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.562179\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.506202\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000342 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2805\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", @@ -13318,362 +13311,367 @@ "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.506634\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000163 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000171 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000159 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", @@ -13682,77 +13680,77 @@ "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000430 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", - "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[7]\tvalid_0's binary_logloss: 0.505061\n", - "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "Did not meet early stopping. Best iteration is:\n", - "[7]\tvalid_0's binary_logloss: 0.506587\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000390 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[7]\tvalid_0's binary_logloss: 0.50443\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000341 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000384 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", - "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000404 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000519 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", @@ -13761,72 +13759,72 @@ "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[7]\tvalid_0's binary_logloss: 0.547321\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[7]\tvalid_0's binary_logloss: 0.536243\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[7]\tvalid_0's binary_logloss: 0.498161\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000341 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000493 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", - "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000369 seconds.\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000474 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[7]\tvalid_0's binary_logloss: 0.539676\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[7]\tvalid_0's binary_logloss: 0.568482\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", "Evaluated only: binary_logloss\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", - "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[7]\tvalid_0's binary_logloss: 0.524184\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Total Bins 2295\n", "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", @@ -13835,375 +13833,374 @@ "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[7]\tvalid_0's binary_logloss: 0.531564\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000163 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000150 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000170 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000148 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000166 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000351 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", @@ -14211,47 +14208,47 @@ "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000358 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000338 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000436 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000679 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.468522\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.485702\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.491121\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000399 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", @@ -14259,497 +14256,484 @@ "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000929 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000433 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000757 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.526667\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.501151\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.472235\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000497 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000568 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000375 seconds.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000801 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000502 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000752 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.498667\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.544275\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.507936\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 2040\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 8\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.505284\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000336 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000169 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001181 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000418 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000174 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000169 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.462813\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", - "[LightGBM] [Info] Start training from score 0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", @@ -14757,1583 +14741,1593 @@ "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000438 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000324 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.481659\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.499456\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.515423\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000597 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000867 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000414 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000360 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.504663\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.479116\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.50173\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000394 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000350 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000643 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000429 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000804 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1785\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 7\n", - "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.550578\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.514864\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.511735\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000156 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000143 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000162 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000123 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000157 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000351 seconds.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000408 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", - "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000390 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000504 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000513 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.454962\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.464957\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.479176\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000377 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", - "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000347 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000630 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", - "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000405 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000475 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.513415\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.48979\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.479703\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", - "[LightGBM] [Info] Start training from score -0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000594 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000682 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000397 seconds.\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000812 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.499557\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.541592\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.487624\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1530\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 6\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", - "[LightGBM] [Info] Start training from score -0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", - "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.496412\n", - "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000167 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000144 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000164 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000160 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000164 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000354 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000527 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000414 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000512 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.445933\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.480537\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.491074\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", - "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000362 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000666 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000456 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "Training until validation scores don't improve for 5 rounds\n", - "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.529248\n", - "Evaluated only: binary_logloss\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000497 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000838 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Training until validation scores don't improve for 5 rounds\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000382 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", - "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.498087\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.468703\n", + "[LightGBM] [Warning] Unknown parameter: eval_metricDid not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "\n", "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.489092\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", - "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000326 seconds.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000624 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000430 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000900 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1275\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 5\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000690 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.533967\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.498007\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.506948\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000169 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000148 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000174 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000171 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000170 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000162 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000137 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001273 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000148 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000166 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000171 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000164 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000341 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", - "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000430 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000360 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "Training until validation scores don't improve for 5 rounds\n", - "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.469823\n", - "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.484669\n", - "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.494342\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", @@ -16341,36 +16335,36 @@ "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000425 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", - "[LightGBM] [Info] Start training from score -0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.540004\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.516157\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.471291\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000368 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", @@ -16378,10 +16372,10 @@ "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000347 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", @@ -16389,410 +16383,409 @@ "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000450 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.518385\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.534377\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.512096\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 1020\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 4\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.502945\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000150 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000144 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000168 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000140 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000157 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000873 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000162 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000147 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000156 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000170 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000155 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000177 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000153 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000154 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000160 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000143 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000156 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 3\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", @@ -16800,1037 +16793,175383 @@ "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000441 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "Training until validation scores don't improve for 5 rounds\n", - "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.460488\n", - "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000447 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000435 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 3\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.497209\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", - "[LightGBM] [Info] Start training from score 0.000000\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.497021\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000458 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 3\n", - "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.543129\n", - "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", - "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000704 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000483 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000808 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.52572\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.485141\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000665 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000550 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", - "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.523529\n", - "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000414 seconds.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000676 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001000 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.535525\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 765\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 3\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.527338\n", - "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.514554\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000157 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000335 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000116 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000163 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000166 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000335 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000141 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000105 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000141 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000144 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000166 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000133 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000153 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000177 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000120 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000161 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000156 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000593 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000677 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000419 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001690 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001044 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000647 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000726 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000588 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000367 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000482 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000832 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000449 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000407 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Info] Total Bins 3315\n", + "\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000603 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000676 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000411 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000585 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000542 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000826 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000116 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000630 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000771 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000594 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000341 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000552 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000447 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000371 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000174 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000478 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000660 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000441 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000372 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000526 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000441 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000520 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001053 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000608 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000569 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000353 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000533 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000382 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000431 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000392 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000345 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000532 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000545 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000600 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000422 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000324 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000326 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000396 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000368 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000403 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000473 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000405 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000493 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000949 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000553 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000407 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002472 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000695 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000519 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000446 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000690 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000892 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "[LightGBM] [Warning] Unknown parameter: eval_metricEvaluated only: binary_logloss\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000128 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000517 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000439 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000587 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "Training until validation scores don't improve for 5 rounds[LightGBM] [Info] Start training from score -0.000000\n", + "\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000401 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000508 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001015 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000696 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.006536 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000407 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000358 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.478132\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479744\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000347 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000469 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489248\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.524494\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.496168\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000397 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000604 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455[LightGBM] [Info] Total Bins 2295\n", + "\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000635 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475717\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.51176\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.548114\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000511 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000408 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.505506\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.518291\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000333 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000481 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000421 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000448 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000376 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000399 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000355 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000388 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000631 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000779 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000944 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000779 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000830 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000162 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000631 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000469 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000174 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000171 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000560 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000470 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000413 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000828 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000727 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000675 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000493 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000451 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000505 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45176\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000403 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000665 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.453382\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.48376\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.50328\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000543 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000527 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000470 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483615\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.456453\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485197\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000391 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000892 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000697 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526954\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.481258\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.503875\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000484 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000354 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000508 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000417 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000524 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000549 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000338 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000324 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000652 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001620 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000829 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000566 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000675 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000822 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000871 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000937 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000862 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000347 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000465 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000510 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000641 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000844 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001529 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Start training from score -0.000000[LightGBM] [Info] Total Bins 4067\n", + "\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000997 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.004153 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000493 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000352 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000500 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000493 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000356 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000419 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000635 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738Evaluated only: binary_logloss\n", + "Evaluated only: binary_logloss\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000420 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000637 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000524 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000169 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000163 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000133 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000156 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000143 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.506872\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000433 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000361 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.500341\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.510905\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.553326\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000561 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000381 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.527935\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.508066\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.53096\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000580 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000621 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.570323\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.529772\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.530623\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000166 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000484 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000497 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000632 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000573 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000612 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000741 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000351 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000392 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000348 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000589 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000580 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000507 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000810 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000917 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001451 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000438 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.453851\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000684 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000788 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468838\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000797 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001422 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000521 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000514 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.006124 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000395 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000498 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000338 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000361 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000422 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000430 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000484 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000579 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Info] Total Bins 3315\n", + "\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000458 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000397 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000713 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000514 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45176\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.453382\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.48376\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000474 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000579 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000668 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483615\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.50328\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.456453\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000463 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000759 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000656 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485197\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526954\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.481258\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000503 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.503875\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000872 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000374 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000454 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000352 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000353 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001426 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000459 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000440 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000440 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000357 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000376 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000511 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000345 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000535 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000380 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000380 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000374 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000573 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000562 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000594 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000367 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000560 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000515 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000393 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000556 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000486 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000580 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000452 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000460 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000333 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000719 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000376 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000696 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000390 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000758 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000825 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000486 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001365 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000390 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000460 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000399 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000612 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000572 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000604 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005698 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000419 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000399 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000490 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000342 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000477 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000542 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000423 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000655 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Info] Total Bins 2295\n", + "\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000568 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000338 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000336 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001364 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000438 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000439 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000453 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000631 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000425 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000571 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000555 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000367 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000420 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000466 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000816 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000405 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000579 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000561 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000546 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000730 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000438 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000339 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000339 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000406 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000551 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000492 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003140 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000830 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000904 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Info] Start training from score -0.000000\n", + "\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000357 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000432 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000449 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000353 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000502 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000437 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000561 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000168 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000962 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000646 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000881 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000703 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000983 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000918 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000468 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000538 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000714 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000350 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000469 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000502 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000376 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000526 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001382 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000336 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000380 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000844 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000583 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.453851\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000880 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000364 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468838\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000367 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000457 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000573 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002426 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000521 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000578 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000424 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000358 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000462 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000463 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000396 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000359 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000561 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000671 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000780 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000519 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000163 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000520 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000477 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000497 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000450 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000343 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000329 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000369 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000450 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000441 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000430 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000478 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000433 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000452 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001533 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000486 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000464 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000546 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.453851\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.006011 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.004499 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.004254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468838\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000394 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000812 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000773 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000407 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000702 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000346 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000521 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000410 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000541 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000591 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000757 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000850 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001063 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000387 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000368 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000488 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000537 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000899 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000357 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.003323 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000495 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000396 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000174 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000171 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.478132\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479744\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000471 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000338 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000342 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.524494\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489248\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.496168\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000732 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000778 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000488 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475717\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.51176\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.548114\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000512 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000347 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.518291\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.505506\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000324 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000752 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000329 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000335 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000366 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000344 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000434 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000503 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000728 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000439 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000368 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000495 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000765 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000877 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001116 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000760 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000861 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000668 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000336 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001975 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000505 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000400 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000409 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000439 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000412 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000412 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000329 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000374 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000565 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000733 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000677 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000374 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000837 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000738 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000656 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000408 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000177 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000428 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000329 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000367 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000521 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000583 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000360 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000592 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000355 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000422 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000531 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000536 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000551 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000555 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000409 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000649 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000810 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000453 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001000 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000577 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000355 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000698 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000512 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000482 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000786 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000787 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000484 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000407 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000478 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000512 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000399 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000540 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000641 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000423 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000796 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000152 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001564 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000666 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000853 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.506872\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.500341\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.510905\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000485 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000715 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000693 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.553326\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.527935\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.508066\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.53096\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000548 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000438 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.570323\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.529772\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000877 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.530623\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003333 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000109 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000484 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000375 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000583 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000420 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000381 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000545 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000364 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000449 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000556 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000591 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003007 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002096 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000555 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000447 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000443 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000545 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000673 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000721 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000599 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000819 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000825 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000857 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000506 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000418 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000586 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000786 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000635 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000366 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000540 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.004167 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.467541\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.47876\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.493516\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000680 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000712 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000895 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.53103\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.50123\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473724\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000631 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000826 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000488 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.512086\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.558181\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.509927\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.517469\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000170 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000788 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000527 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000614 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45236\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.449904\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.478878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000409 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000771 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000496 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506543\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479103\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.449827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000776 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000802 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.487422\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.525683\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.487804\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490101\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000583 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000491 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000639 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000659 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000764 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000949 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000542 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001039 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001161 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000333 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000847 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003092 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000519 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000541 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000439 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000610 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000496 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000581 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000641 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000433 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000825 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000896 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000385 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000620 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000582 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000597 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000621 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000646 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000610 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000743 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000354 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005480 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001326 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000534 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000535 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000414 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001570 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001413 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000425 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000835 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000690 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001336 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000336 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000876 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000409 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000464 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000497 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000527 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000602 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000383 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000426 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001626 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000468 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000761 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000379 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000585 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000359 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002076 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000836 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000391 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000341 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000378 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000452 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000592 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000735 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000578 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000427 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001324 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001543 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000468 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000427 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000413 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000409 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000378 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000422 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000556 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005052 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000527 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000348 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000333 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000366 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000710 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000784 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000799 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000809 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000170 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002857 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001006 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000696 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000572 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000731 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000661 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000618 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000324 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000326 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000366 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000324 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000350 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000399 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000456 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000475 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000609 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000558 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000361 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000340 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000429 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001683 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000489 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000499 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000538 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000324 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000649 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000844 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000952 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000660 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455[LightGBM] [Info] Total Bins 4066\n", + "\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000626 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000555 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000380 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000504 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000517 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000437 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000422 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000472 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.003842 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002603 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002173 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000610 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002040 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000339 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.506872\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.500341\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000343 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.510905\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.553326\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000466 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.527935\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.508066\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000502 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000539 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.53096\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.570323\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.529772\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.530623\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000596 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000858 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000166 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.006107 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000794 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000461 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000445 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000480 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000462 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000335 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000502 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000643 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000437 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000381 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000348 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000625 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000383 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000880 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000351 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000177 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000160 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001427 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000358 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000346 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000441 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000355 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000660 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003163 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000528 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000586 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000351 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000442 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000585 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000436 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000872 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001011 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000498 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000425 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001004 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000339 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000534 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001906 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000356 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000664 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000716 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000467 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000396 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000480 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000171 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000442 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.478132\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000686 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000402 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479744\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489248\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.524494\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000425 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000511 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.496168\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475717\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.51176\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000343 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000609 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.548114\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.505506\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.518291\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000338 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000367 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000358 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000511 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000405 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000686 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001423 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001061 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000536 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000520 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000554 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000645 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000479 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000336 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000481 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000857 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000505 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000845 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000542 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000733 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000888 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000702 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000649 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000492 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000538 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001208 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000543 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000464 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001225 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000346 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000550 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000472 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000503 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000421 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000758 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000511 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000363 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000573 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000547 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000363 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000347 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000340 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000904 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000371 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000439 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000454 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000365 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000389 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000528 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000563 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000663 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001015 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000177 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001821 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.478132\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000497 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479744\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489248\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000389 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000462 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.524494\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475717\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.496168\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000722 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000367 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000606 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.51176\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.505506\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.548114\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.518291\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000691 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000825 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005663 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000361 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000520 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000340 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000397 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000468 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000508 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000465 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000588 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000559 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000506 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000447 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000377 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001506 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000101 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000421 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000532 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000493 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001513 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000742 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000401 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000782 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000521 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000420 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000353 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000507 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000519 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000845 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000927 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002960 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001745 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002089 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000391 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001361 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000158 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.006497 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003452 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003990 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 roundsTraining until validation scores don't improve for 5 rounds\n", + "\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.501179\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.513522\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.497389\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000690 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000890 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000703 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.525775\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.540561\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.50506\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000397 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000669 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000619 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.531653\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.569797\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.524422\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.546486\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000177 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000458 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000522 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000444 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000621 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000354 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000592 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000341 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000400 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000338 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000433 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000459 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000620 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002633 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001008 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000468 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000530 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000525 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000416 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000452 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000380 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000367 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000367 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003077 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000748 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000370 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000889 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000430 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000397 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000480 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000404 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000607 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000464 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000443 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000403 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001608 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000474 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.506872\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000473 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000472 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.500341\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.510905\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.553326\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000522 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.527935\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000507 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.53096\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.508066\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000451 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.570323\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.529772\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.530623\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000407 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000451 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000422 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000351 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000527 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000424 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000357 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000344 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000425 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000344 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000388 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000394 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000507 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000615 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000467 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001928 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000389 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000401 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000353 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000324 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000344 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000471 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000479 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000688 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000564 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003626 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000792 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000352 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000356 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000431 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000968 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001040 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000975 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000930 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000810 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000733 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003835 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000333 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000348 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000494 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000675 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000493 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.506872\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.500341\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.510905\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002163 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002330 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002543 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.553326\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.508066\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.527935\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000526 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000873 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.53096\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.570323\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.529772\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.530623\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.016650 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000434 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002614 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000418 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000356 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000380 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000475 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000170 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001530 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.006861 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000495 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001664 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000366 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000632 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000739 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000881 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000751 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000834 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000796 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000848 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000747 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000420 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000351 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000445 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002432 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000682 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000928 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000763 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000Training until validation scores don't improve for 5 rounds\n", + "\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000366 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000466 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000498 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000748 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000745 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000778 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000881 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000459 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001373 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45176\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.48376\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.453382\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000387 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000758 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000425 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.50328\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483615\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.456453\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000500 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000864 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001144 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485197\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526954\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.481258\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.503875\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.004742 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000483 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000166 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000358 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000351 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000158 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002888 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000477 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000588 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000567 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000473 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000868 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000932 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000755 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001537 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000607 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001988 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000451 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000464 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000654 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000748 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000995 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000570 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000807 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000407 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001821 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000492 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000672 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000370 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.004718 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000397 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000485 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000552 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000614 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000386 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000558 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000533 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000505 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000853 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001966 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000424 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002023 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000433 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002583 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000563 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000389 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000491 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000632 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000380 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000490 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001670 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003182 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000401 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000152 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000794 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000537 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000503 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000352 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000587 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000655 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001013 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000626 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000634 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000395 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000326 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000169 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000342 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001170 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.478132\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479744\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000517 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000449 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000477 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.524494\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489248\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.496168\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000828 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000694 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Info] Total Bins 2295\n", + "\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000647 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.51176\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.548114\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475717\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000373 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000697 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.505506\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.518291\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001676 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.006775 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000515 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000345 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000818 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000367 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000420 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.507092\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000437 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.500083\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.508151\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000368 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.55021\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000576 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.522494\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.506735\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.528802\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000388 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.573106\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.527028\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.545238\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000324 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001133 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000351 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454783\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000742 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000731 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000901 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000979 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000938 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001023 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000369 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000438 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000826 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001150 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000589 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000344 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000477 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000394 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000719 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000549 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000619 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000799 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000144 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000154 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000333 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001826 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000558 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000487 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000765 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003735 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.006331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001023 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000542 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000576 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000406 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000458 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000666 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000432 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000491 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000928 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001521 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000336 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000361 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000341 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000985 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000604 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000464 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Total Bins 4830\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000606 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000648 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000600 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000783 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000532 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000735 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000348 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000533 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000348 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000413 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000548 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000350 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000535 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000342 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000648 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001700 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000636 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000756 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003566 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000484 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000413 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000609 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000497 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000678 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002151 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000467 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000475 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001529 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000436 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000369 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000841 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000425 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000341 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000434 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000558 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000640 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000174 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000068 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000404 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000168 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000170 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000412 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000598 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000495 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000735 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000435 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000436 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000724 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000439 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000363 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000368 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002026 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000377 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000632 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000640 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001726 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001077 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000542 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000413 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000375 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001669 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001152 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000493 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000350 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000403 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000478 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000601 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000448 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000867 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001087 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000602 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000912 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000675 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000986 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000623 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000608 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000360 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000354 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000699 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001558 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000409 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000599 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000909 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001033 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000376 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000428 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000508 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000156 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.478132\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479744\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000374 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000455 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489248\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.524494\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.496168\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000420 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475717\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.51176\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.548114\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000341 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000449 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.505506\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.518291\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000377 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000335 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003048 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000602 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000329 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000336 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000390 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000659 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000495 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000651 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000560 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000705 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000528 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000416 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000340 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000537 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000342 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000618 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000346 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000549 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000625 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000620 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000398 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000802 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000752 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000540 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000845 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000862 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000473 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000324 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001512 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000497 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001887 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000344 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000612 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000517 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000391 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000468 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000624 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000422 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000490 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001001 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000825 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000366 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.506872\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.500341\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.510905\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000450 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000431 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.553326\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.527935\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.508066\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.570323\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.53096\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.007133 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.529772\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.530623\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000343 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000159 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000166 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000166 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000149 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000143 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000151 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000391 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000415 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000505 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000480 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000728 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000464 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000421 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000690 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000780 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000355 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000487 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000346 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000687 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000569 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000622 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000403 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000528 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000750 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000549 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000364 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000475 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000675 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000630 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metricDid not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000434 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000367 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000708 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000346 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000396 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000372 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000432 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000482 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000711 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000627 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000889 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000431 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000471 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000541 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000432 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000494 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000468 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000588 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000541 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000483 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000613 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003046 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000410 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000333 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000483 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000481 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000607 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000732 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000754 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000597 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000417 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000865 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001176 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.012892 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000528 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000377 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000629 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000557 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000673 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000836 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000522 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000848 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000905 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001833 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000535 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001132 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000535 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000597 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001060 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000671 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001439 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000650 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000456 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001141 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000784 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000777 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000718 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000368 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001019 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000488 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000384 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000408 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000469 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002162 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001688 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000625 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000814 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000832 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000348 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000375 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000377 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000525 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000387 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000472 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000345 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000415 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000607 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000437 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000636 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000670 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000850 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000711 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000508 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000606 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001365 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000547 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000793 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000558 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000461 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000774 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000784 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000567 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000713 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000868 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.013714 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000775 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000348 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000733 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000458 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000737 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000686 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000638 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001002 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000850 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001574 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000492 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000836 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000474 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000908 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000719 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001392 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000520 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000623 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000541 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000416 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001528 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.009225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001186 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000364 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000433 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000336 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000367 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000709 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000750 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000361 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000757 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001010 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000411 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000463 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000464 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000738 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000461 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000567 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000422 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000445 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000383 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000607 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000817 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000361 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000335 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000169 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000824 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000171 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000165 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002080 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000395 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000364 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001047 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000366 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000352 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000622 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000520 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001060 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001017 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000392 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000339 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000386 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000351 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000468 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000352 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000447 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000339 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003495 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003813 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000449 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000677 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000676 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000698 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000409 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001511 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000694 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000563 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000570 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001026 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000768 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002593 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001938 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002463 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000539 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000341 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002386 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000399 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000357 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000346 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000333 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000597 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000695 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.004406 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000784 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45176\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000379 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000371 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000490 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.453382\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.48376\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.50328\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000718 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000767 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000764 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483615\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.456453\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485197\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000978 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001119 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000972 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526954\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.481258\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.503875\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001772 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000639 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000513 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000833 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000368 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000387 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000351 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000450 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000162 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000403 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000359 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000419 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000357 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000411 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000592 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000653 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000531 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000474 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000716 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000738 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000443 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000609 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000468 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000464 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000549 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000434 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000424 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000382 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002380 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000532 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000345 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000655 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000789 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000644 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000807 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000756 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000757 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000662 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000784 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000952 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.032904 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002502 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000642 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000561 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000522 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000908 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000797 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000719 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000991 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000896 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000441 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000375 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000336 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003364 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001709 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000448 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000822 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000827 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000665 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.006663 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000503 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000603 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000846 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000405 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000487 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000850 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000378 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000344 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000988 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000362 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000519 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000395 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000378 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000837 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000355 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000597 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000560 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000892 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000514 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000672 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005973 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000485 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000348 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001380 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000493 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000688 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000624 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000560 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000727 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000949 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000768 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001020 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002557 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000352 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001823 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000333 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000403 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000376 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000485 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000415 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000666 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000555 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000353 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000349 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000347 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000366 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000343 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000375 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000408 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000625 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000768 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000420 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000170 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000171 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001113 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000405 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002112 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000417 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000424 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000747 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000568 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000572 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000685 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000344 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000400 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000377 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000399 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000356 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000473 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000385 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000517 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000650 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000819 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000421 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000714 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000721 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000628 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000445 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000787 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000565 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000400 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000335 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000717 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002856 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000483 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000517 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000440 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.453851\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000592 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003365 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000902 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468838\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000557 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000874 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000957 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000546 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000532 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000469 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001558 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000571 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000473 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000454 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000505 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000737 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000769 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000588 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000489 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000505 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000391 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000514 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000985 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000514 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000499 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000461 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000338 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000875 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000433 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000586 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000416 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000400 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000821 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000912 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001823 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000360 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000397 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000474 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000428 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000577 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000649 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000388 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000345 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000525 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000324 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000333 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000363 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000563 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000371 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000410 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000344 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000510 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000612 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000560 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.022508 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.006625 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000345 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000426 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000359 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000405 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001784 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000461 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000367 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000468 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.011242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005650 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000363 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000342 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000435 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000450 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000455 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000329 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000538 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000515 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000902 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001596 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001054 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000336 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000454 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000544 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000605 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000537 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000Training until validation scores don't improve for 5 rounds\n", + "\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000562 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000734 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000493 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000731 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000505 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000346 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000357 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000922 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.478132\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479744\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489248\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000476 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000454 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000618 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.524494\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.496168\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475717\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000606 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000605 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000786 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.51176\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.548114\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.505506\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.518291\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000383 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001989 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000612 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000422 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000995 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000326 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001611 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001149 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000879 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000994 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000720 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000632 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000732 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001072 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000859 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000531 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005413 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.006569 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.008845 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 roundsTraining until validation scores don't improve for 5 rounds\n", + "\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000924 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000977 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000652 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000475 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000462 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005754 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000359 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000904 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000632 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000831 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000626 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000805 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000696 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000781 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000642 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000501 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000383 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45176\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000375 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000344 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.453382\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.48376\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.50328\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.456453\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000372 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483615\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485197\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000497 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000802 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001388 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526954\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.481258\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.503875\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.021244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.018936 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.002881 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.478132\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479744\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489248\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000893 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000652 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000679 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475717\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.524494\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.496168\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000577 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000956 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000889 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.51176\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.548114\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.505506\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000388 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.518291\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000371 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000624 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000759 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000426 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000468 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000506 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000466 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000349 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000542 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000810 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000469 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000454 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000427 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000425 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000350 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000468 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000735 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000608 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000384 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000326 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.453851\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000373 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000727 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000579 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000516 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468838\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000417 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000611 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000452 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000365 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000536 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000336 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000424 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000489 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.014012 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.007740 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000576 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000496 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000338 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000326 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000406 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001723 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001883 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001481 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000385 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000574 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000450 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000401 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000523 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000885 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000908 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000661 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000964 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000852 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000500 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000342 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000345 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000343 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000716 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000329 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000446 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000717 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000946 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000909 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000774 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000800 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000698 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000386 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000335 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000464 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000495 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000390 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000404 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000422 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000669 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000503 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000351 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000671 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000830 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000872 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "\n", + "[LightGBM] [Info] Total Bins 4067[LightGBM] [Info] Total Bins 4066\n", + "\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000409 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000486 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000696 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000380 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000454 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001714 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001910 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000432 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000841 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000664 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000417 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000472 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003103 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000430 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000355 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000479 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000628 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.506872\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.500341\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.510905\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000449 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000534 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000547 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.553326\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.527935\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.508066\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000443 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000595 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000457 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.53096\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.570323\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.529772\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000538 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.530623\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002520 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000503 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000982 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.478132\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479744\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489248\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000673 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000526 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.[LightGBM] [Info] Start training from score 0.000000\n", + "\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000851 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.524494\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.496168\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475717\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000592 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000997 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000767 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.51176\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.505506\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.548114\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.518291\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000326 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002428 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000537 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000881 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000675 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000484 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000335 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000534 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000730 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000683 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000566 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000493 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000359 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000614 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000662 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000509 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000635 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000707 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000799 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000970 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000324 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000443 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000353 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000506 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000523 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001095 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000981 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000512 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000901 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001069 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000329 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000482 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.506872\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000422 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000502 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.500341\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.510905\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.553326\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000629 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000824 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000541 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.527935\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.508066\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.53096\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.012577 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.003251 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.004017 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.570323\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.530623\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.529772\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000324 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.006595 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000495 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000414 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000333 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000496 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000378 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000779 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000421 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000338 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000326 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001642 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000350 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000368 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000324 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000347 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000651 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000386 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000388 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000415 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000517 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002618 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000551 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000549 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001013 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000889 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000413 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001840 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000392 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000515 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000528 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000627 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000728 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000544 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000363 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000392 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000610 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000586 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000603 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000926 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000810 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000635 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000736 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000786 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000397 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000463 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000339 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.019377 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000604 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000566 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000474 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000613 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000756 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000477 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000394 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000442 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000499 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000383 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000385 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000808 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001526 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000477 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000588 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000834 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000764 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000588 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000708 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000409 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000895 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000710 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000450 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000359 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000177 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000365 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000655 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000529 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000418 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000618 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001074 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000942 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000381 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000489 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000562 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000326 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.003646 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000379 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000344 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000455 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000491 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002457 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003148 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001006 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000916 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000726 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001056 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000379 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000343 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.014095 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000671 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000145 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001187 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000391 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000383 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000529 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000411 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000522 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000451 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000590 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000383 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001286 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000353 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000629 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000329 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001417 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000583 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000740 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000674 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000579 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000803 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000575 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000769 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000352 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001694 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000497 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001690 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.506872\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000335 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.500341\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000482 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.510905\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.553326\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000620 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000863 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000690 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.527935\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.508066\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.53096\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000929 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000825 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000594 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.570323\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.529772\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.530623\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003390 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000517 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000177 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000718 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000424 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000544 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.008854 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000580 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000388 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001624 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000545 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000473 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000566 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000536 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000684 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000627 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000568 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000581 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000870 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000340 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000411 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001546 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000487 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000668 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000624 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000436 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000569 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000792 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000439 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000468 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000344 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001368 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001670 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.009703 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000417 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000531 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000394 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13[LightGBM] [Info] Start training from score -0.000000\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000440 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000389 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000600 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.006338 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.007326 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000386 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "Training until validation scores don't improve for 5 rounds[LightGBM] [Info] Total Bins 2805\n", + "\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000699 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.478132\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000392 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000391 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489248\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479744\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000333 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.524494\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475717\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.496168\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000380 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001044 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000914 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.51176\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.548114\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.505506\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.518291\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.015689 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000604 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000556 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000344 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000338 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000333 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000549 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000389 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000422 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000395 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000343 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000407 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000474 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000641 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000595 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000420 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001026 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002088 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000375 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000609 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000461 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000510 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000405 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000758 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000585 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000561 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000665 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000819 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000950 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000348 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000344 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000538 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000356 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000600 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000924 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000594 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000629 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000459 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000446 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000664 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000326 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000880 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000426 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000474 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000386 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000567 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000573 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000546 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000514 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000674 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000402 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000171 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000390 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000555 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000457 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000401 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001073 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000675 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000550 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000878 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000842 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003043 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000417 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000342 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000374 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000354 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000378 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000393 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000420 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000486 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000445 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000517 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000641 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000446 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000645 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000575 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000509 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000390 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000496 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002178 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000511 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metricDid not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000718 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000541 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000476 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000639 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000366 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.006409 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000360 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000458 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000601 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000497 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000489 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000490 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000326 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000419 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000343 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000437 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000529 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.004497 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002556 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001653 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000432 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000487 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000375 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000634 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000174 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000177 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000440 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000489 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.508176\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.514732\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.508126\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000489 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.542928\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000382 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000400 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.51677\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000343 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.502114\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.531653\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000392 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000513 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000380 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.557732\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.531758\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.528743\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000326 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001183 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000339 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000511 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000426 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000537 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000351 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003804 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000672 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000798 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000498 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000620 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000743 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000658 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000674 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000896 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001011 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000567 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002186 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001454 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000623 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000553 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000333 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000917 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000898 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000708 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000363 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000531 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000345 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000417 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000862 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001021 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000391 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000425 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000764 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000634 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000538 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000844 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000503 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000586 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000856 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000492 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001081 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000563 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000504 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001766 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000650 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000636 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000571 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000510 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000346 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000324 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000124 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.478132\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479744\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000412 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489248\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.524494\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.496168\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000427 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000463 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000551 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475717\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.51176\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.548114\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000454 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000822 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.505506\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.518291\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.004391 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000825 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000350 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000800 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000454 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000581 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000528 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000385 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000455 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000598 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000542 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000694 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.015345 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000450 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000354 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000430 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000381 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000405 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000326 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000385 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000531 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000401 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000449 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000434 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000367 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002938 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000341 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000484 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000737 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000499 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000536 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000584 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000596 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000548 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001829 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000411 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000452 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.005344 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000865 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000372 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000590 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000423 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000433 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000521 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000418 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000665 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000491 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002627 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000718 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000700 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000775 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000762 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000566 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000453 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000336 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000444 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000462 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000606 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000474 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000485 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000790 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001061 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000964 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000532 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000613 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000326 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.006461 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000495 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000346 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000403 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000477 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000721 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002730 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000754 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000503 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000350 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000680 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.009081 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000426 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000333 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000410 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000398 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000539 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001446 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000363 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001150 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000471 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000351 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000533 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000392 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000632 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000410 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000529 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000549 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000345 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002795 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000430 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000459 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000349 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.478132\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000435 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000450 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000571 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479744\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489248\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.524494\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000507 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.496168\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000576 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475717\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.51176\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000362 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000410 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.548114\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.505506\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.518291\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000368 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002472 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000346 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.007574 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000519 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000730 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000372 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000356 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000412 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000479 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000660 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001140 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001166 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000587 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000792 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000440 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000495 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.008078 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000606 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000470 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000339 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000408 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000453 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000595 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001621 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000838 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001186 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.008403 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000436 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000340 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000487 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000465 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000567 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.007748 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000669 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002446 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002615 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000779 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000974 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000676 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000398 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001134 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000570 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000343 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000545 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000481 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000590 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000752 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000637 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000426 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000383 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000480 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000658 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000522 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000577 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000897 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001149 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000415 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000378 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000498 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000358 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000333 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000340 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002113 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000499 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000344 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000375 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000411 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000605 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000562 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.006601 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.006493 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.004834 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000471 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001658 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000360 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000378 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000553 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000329 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000542 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000509 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000468 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001140 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001131 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000642 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000559 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000743 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000345 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000473 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000335 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000440 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000774 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000547 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000518 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000761 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001088 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001033 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000167 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000489 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000376 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000589 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000440 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000455 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000425 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000608 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000583 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000800 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000538 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000471 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000344 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000848 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000378 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000388 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000463 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000360 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000388 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000517 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000724 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000556 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000912 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000561 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000554 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000526 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000503 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000637 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000806 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metricTraining until validation scores don't improve for 5 rounds\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000876 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001996 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000556 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000585 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000386 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000355 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000979 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000376 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000385 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000537 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000481 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000658 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000669 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001023 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000832 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000997 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000410 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000575 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000919 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000851 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000599 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000729 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000627 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000457 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000396 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000384 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000440 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000443 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000599 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000394 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000768 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000441 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000448 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000728 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000348 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000400 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000519 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000647 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.004963 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001412 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000849 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000639 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000538 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001342 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000415 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.011240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000360 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000447 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000427 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000343 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.014832 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000586 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000382 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000463 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000415 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000447 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000702 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000626 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000558 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000714 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000793 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000336 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000376 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000485 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001932 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000636 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000425 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metricTraining until validation scores don't improve for 5 rounds\n", + "\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000354 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000465 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000448 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000586 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000658 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000324 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000517 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000430 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000540 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000780 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000710 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000561 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000667 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000541 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000625 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000493 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000444 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45176\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000358 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.453382\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.48376\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.50328\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000738 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000499 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000373 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483615\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.456453\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485197\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000693 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000767 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000776 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526954\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.481258\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.503875\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001610 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000479 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000638 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000458 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000406 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000410 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000499 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000168 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000434 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000437 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000561 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000423 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000335 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000524 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000357 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000329 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000362 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000343 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000426 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000573 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000585 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000394 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000777 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000636 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000602 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000406 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000380 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000782 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000377 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000365 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000755 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000468 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.010946 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.013417 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000777 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000755 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000791 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000579 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000738 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000550 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000574 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000889 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000511 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000775 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000366 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000486 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000609 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000498 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000700 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000759 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000349 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000427 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000324 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000391 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000656 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000720 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000658 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000801 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000953 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000496 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001000 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000858 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000416 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000380 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000177 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000088 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000170 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000798 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000415 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000482 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000482 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000784 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000444 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000523 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000503 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000840 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000433 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.004769 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000587 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000472 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000399 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.027086 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000329 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000463 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000350 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000401 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000648 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000599 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002596 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000892 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.003108 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000555 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001898 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000652 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000515 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000377 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000485 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000632 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000572 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000540 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000903 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001324 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000389 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000344 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000781 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.023069 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000526 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000432 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000639 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000674 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000869 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000642 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000771 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000928 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000356 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001554 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000481 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000488 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000647 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000438 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000509 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000467 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000858 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000943 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.008490 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005590 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005183 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000903 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000368 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000352 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000473 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000379 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000174 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000456 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000359 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000446 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000495 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000336 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.004703 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000592 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000340 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000515 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000541 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000393 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000473 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000427 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000648 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000598 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002894 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001717 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000886 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000744 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000352 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003667 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000800 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000545 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000492 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000712 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000428 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000945 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000650 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000909 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000849 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000547 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000391 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000579 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.015118 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000418 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000497 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000496 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000561 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000820 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000886 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000780 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000653 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000757 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001048 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000532 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000603 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000518 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000510 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.506872\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.500341\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000447 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000538 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000483 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.510905\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.553326\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.527935\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000487 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000407 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.508066\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.53096\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.570323\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000521 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000512 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.529772\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.530623\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000400 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000387 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000707 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000350 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000388 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000598 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000450 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000784 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000822 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000395 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000416 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000326 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000394 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000344 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.010992 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000340 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000354 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000341 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000350 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000432 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000596 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000584 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000823 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000676 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000534 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000608 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000841 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.006694 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000421 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000450 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002949 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000529 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000472 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000465 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000649 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000477 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000381 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000613 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000430 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000367 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.016898 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000433 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000465 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000453 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000449 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000528 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000566 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005775 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000400 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000412 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000842 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000812 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000518 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000859 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000910 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000675 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000891 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000805 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000447 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001605 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.009715 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000364 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000509 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000822 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000717 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000553 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000488 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000629 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000509 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000855 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000367 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001114 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000344 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000457 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000354 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000345 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000539 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000377 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000444 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000386 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000399 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000496 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000595 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000582 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000700 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000684 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003666 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000563 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000329 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000480 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000422 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000542 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000425 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000672 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000366 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 roundsTraining until validation scores don't improve for 5 rounds\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000904 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000717 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000406 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001139 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000346 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000554 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000644 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000451 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000372 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000534 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000673 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003099 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000868 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.006596 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000434 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001026 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000357 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000445 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000509 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000561 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000596 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003774 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000437 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000356 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000358 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001600 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000426 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000476 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000687 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000653 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000776 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000933 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000447 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000911 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000912 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000343 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000373 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000368 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000342 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000940 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002646 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000382 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000455 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000474 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.014327 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000471 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001039 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000469 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000600 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000739 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000333 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000408 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000506 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000345 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000569 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000335 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000586 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000532 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000378 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000546 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000490 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000512 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.010954 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000508 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000349 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001935 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000396 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000614 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000398 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000653 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000385 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000585 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000402 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000846 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000465 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000479 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000105 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000699 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001737 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000539 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000460 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000341 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.008327 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000404 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001140 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000355 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000601 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.013175 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000927 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001100 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000569 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003950 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000867 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000580 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000177 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000539 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001803 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003581 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000586 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000702 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000780 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000671 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000842 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000820 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000361 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.008497 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000502 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000326 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000333 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000615 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.008265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.010630 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.010647 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000420 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000612 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000957 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000883 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000690 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000358 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.014369 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000852 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000376 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001673 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000602 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000616 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000527 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000352 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000790 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000444 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002927 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000451 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000382 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000553 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000620 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000637 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000516 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001075 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000787 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.009352 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001030 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000382 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000585 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.012547 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000450 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000484 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000599 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000442 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002968 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000358 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001024 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000679 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000338 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000346 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000619 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000352 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000763 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000688 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000482 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000717 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000657 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000836 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000867 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000918 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000952 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001347 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.012658 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000532 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000364 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000472 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000502 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000542 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000556 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001064 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000499 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000507 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002648 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000413 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000386 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000417 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000594 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.002760 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.007386 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000528 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000672 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000436 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000456 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000377 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001265 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000461 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.009581 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000520 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45176\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000355 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000380 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.453382\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001366 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000528 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.48376\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.50328\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483615\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000480 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000648 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000546 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.456453\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485197\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526954\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000506 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000653 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.481258\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.503875\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000646 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000394 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.006659 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.017577 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000574 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000560 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000389 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000360 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001690 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000566 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000348 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000631 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000342 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000595 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000730 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000777 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000514 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000511 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000504 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000451 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000558 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000329 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000499 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002645 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000505 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000584 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000776 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.453851\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000340 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000466 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000495 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001449 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002967 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001561 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468838\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000769 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000842 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000878 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000972 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000843 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000326 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001594 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000469 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000369 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.506604\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000335 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.500083\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000384 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.508151\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000353 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000351 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000342 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.55021\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.522604\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.506758\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000506 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001047 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001154 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.528802\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.573106\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.527028\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001372 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.54533\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000345 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000451 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000376 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000329 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000847 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.506872\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.500341\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000515 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000497 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000526 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.510905\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.553326\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.527935\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000423 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000607 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.508066\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.53096\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.570323\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000476 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001002 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.529772\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.530623\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001891 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000365 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000449 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.478132\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.009127 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.004047 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000629 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489248\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479744\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.524494\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000628 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000677 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000607 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.496168\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475717\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.51176\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000803 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000654 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000733 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.548114\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.505506\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.518291\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000368 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.011310 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000566 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000476 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000343 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000392 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000814 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000471 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000511 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000645 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000519 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000507 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000362 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000441 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000342 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005644 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000497 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000346 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000506 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000380 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000522 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000724 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000520 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000632 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000608 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000369 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000417 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000381 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000455 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000544 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000554 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001654 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000340 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000359 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000351 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000416 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000410 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.506604\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001803 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001867 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003124 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.500083\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.508151\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.55021\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001060 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001014 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000647 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.522604\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.528802\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.506758\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000878 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000891 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.527028\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.573106\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.54533\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.017982 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000389 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000488 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000373 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001519 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000381 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000493 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000576 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000656 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000582 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000937 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000449 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001009 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000129 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000350 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003504 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000418 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000513 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000362 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000630 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000513 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000938 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000532 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000720 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000722 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005365 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000557 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000393 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000471 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.007450 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.019247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.004414 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000899 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000775 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000829 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000789 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000835 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000336 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000338 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000624 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000474 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000453 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000352 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456[LightGBM] [Info] Total Bins 4066\n", + "\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000371 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000487 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000810 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000686 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001373 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000450 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000620 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000605 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000405 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000556 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000326 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000336 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000662 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000473 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000664 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.005787 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000393 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000441 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000177 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.022315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000445 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000347 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000398 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000347 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000345 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000443 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000761 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001633 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000769 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000737 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000701 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000374 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000450 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000494 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000565 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000718 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000733 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000524 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000650 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000555 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000354 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000325 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000348 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000329 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.009361 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000560 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001372 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000342 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000614 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000609 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000614 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000703 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000471 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000992 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001104 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000932 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000472 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.042896 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000478 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000342 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000521 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.013909 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000975 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000878 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001100 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000902 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000926 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000907 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000458 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000436 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000339 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000500 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000362 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000452 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000392 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000533 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000627 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000506 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000557 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000564 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000437 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000452 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001093 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000369 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.506872\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000567 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.500341\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001683 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001769 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.510905\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.553326\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.527935\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000505 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000751 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000627 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.508066\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.53096\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.570323\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000376 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000727 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.529772\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[7]\tvalid_0's binary_logloss: 0.530623\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000890 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000839 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000573 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002853 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000878 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000646 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000926 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001080 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000528 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000891 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000793 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000355 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000594 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000357 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.006363 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000795 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000862 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000803 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000984 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000822 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001146 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000770 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000860 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000511 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000316 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000461 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000642 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000367 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000438 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000824 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000525 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000555 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000506 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000582 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000903 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001021 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000974 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000808 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455Training until validation scores don't improve for 5 rounds\n", + "\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002586 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000356 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.014494 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000393 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000547 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000359 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000682 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000613 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000600 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001003 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000528 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001017 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000849 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000576 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000536 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000508 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000402 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000322 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000529 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000329 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45176\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000328 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000512 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.453382\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000388 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.48376\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.50328\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000563 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483615\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000445 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.456453\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485197\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526954\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000492 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000363 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.481258\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.503875\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.002735 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000469 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000358 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000177 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000363 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000180 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.478132\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.009711 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.004286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479744\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489248\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.524494\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000506 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000341 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000526 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.496168\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475717\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.51176\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000536 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000850 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000924 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.548114\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.505506\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.518291\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000362 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000362 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000926 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000564 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000349 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000354 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000403 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003568 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000432 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000516 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000380 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000572 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000728 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000727 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000532 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002894 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000545 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002369 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000617 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000401 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000536 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000345 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000425 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000568 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000414 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000912 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000685 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.013895 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000751 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000644 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000541 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000635 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000507 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000Training until validation scores don't improve for 5 rounds\n", + "\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000343 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001826 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000433 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000825 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000185 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000505 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000514 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005113 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000493 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000589 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000480 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000400 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000169 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000161 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000370 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000171 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000189 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000386 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000652 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000663 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000373 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000442 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000342 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000339 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000397 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000539 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000349 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000889 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000695 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001794 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000362 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.009875 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000473 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 roundsTraining until validation scores don't improve for 5 rounds\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001131 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000794 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000429 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000576 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000718 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000671 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000693 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000451 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000347 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001628 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000466 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000480 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000506 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000773 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.453851\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000512 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001167 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000918 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468838\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000492 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000894 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000769 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000496 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.011759 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000329 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000350 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000324 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001111 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003614 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000861 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000384 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001089 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000459 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000758 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000557 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000345 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000458 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000340 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000498 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000344 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002386 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000579 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000348 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000619 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000427 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000581 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000566 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000571 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000813 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000858 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000393 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000811 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000605 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000616 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000335 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000363 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000455 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000320 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000315 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000345 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.012362 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000553 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000337 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000369 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001556 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000365 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000354 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000368 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000778 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000875 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001018 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001565 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001581 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000424 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000635 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000578 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000623 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000354 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000459 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000367 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000616 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000334 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.004380 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000529 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000469 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000383 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000515 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000406 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000466 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000415 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000548 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000518 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.007077 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000550 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000374 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000443 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000494 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000199 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000510 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000933 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000637 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001358 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000705 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001027 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000973 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000481 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.005031 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.015489 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000922 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000374 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000167 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000428 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000357 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000675 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45176\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.453382\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.48376\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003459 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000974 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000865 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.50328\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483615\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.456453\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000781 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000745 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001062 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.481258\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.485197\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526954\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.503875\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.013844 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000336 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.006240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005396 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.008720 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000732 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000739 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000864 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000363 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000362 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000326 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000937 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000336 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.012774 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000301 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000303 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000378 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000579 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000464 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000537 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000895 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000163 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000548 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000401 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001394 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.032928 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000362 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000323 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000273 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000296 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000352 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000487 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000342 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000446 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000749 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000414 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000874 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000632 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000529 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001186 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000876 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000466 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000283 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000414 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000333 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000495 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000387 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473584\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490241\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000292 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000726 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000647 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000520 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.528974\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.498454\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.470442\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000828 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000826 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000770 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513266\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.556948\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515432\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.515026\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000867 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000339 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000532 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000179 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.004264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.467541\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.47876\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000917 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000825 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.493516\n", + "\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000623 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.53103\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.50123\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.473724\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000657 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000369 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000677 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.512086\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.558181\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.509927\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000195 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.517469\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000331 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000272 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000170 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000245 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45236\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000365 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.449904\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.478878\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000480 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506543Training until validation scores don't improve for 5 rounds\n", + "\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479103\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000414 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000399 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.449827\n", + "Evaluated only: binary_logloss\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.487422\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.525683\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000439 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.487804\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.490101\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000324 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002809 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000667 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000313 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000276 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000326 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000327 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000348 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000302 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000350 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000795 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000314 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000290 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000274 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000329 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000385 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000531 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000288 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000353 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4809\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000317 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4804\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000319 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4803\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000286 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4845\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002424 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000887 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.002977 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000719 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4830\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000680 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4836\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000828 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "\n", + "Evaluated only: binary_loglossEvaluated only: binary_logloss\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452854\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000659 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000679 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "\n", + "[LightGBM] [Info] Total Bins 4832\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000751 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000540 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4831\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 19\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506404\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001519 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000529 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000280 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000321 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000293 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000300 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000275 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000299 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.006312 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000583 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000247 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000246 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000294 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000264 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000298 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000349 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000282 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4040\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4044\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4039\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4038\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000279 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4080\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 16\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000368 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000546 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.45434\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000851 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000535 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4065\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000485 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4071\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000441 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468752\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000582 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001098 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4067\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000957 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.484183\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000426 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 4066\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 16\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506513\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000267 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000306 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.014545 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000426 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000287 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000335 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000461 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000404 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001170 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000311 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000308 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454296\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.011356 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005167 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005795 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.454006\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.465827\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.513013\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000714 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000592 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000896 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.468719\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.452793\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.476738\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000706 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000686 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000914 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 3315\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 13\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.534713\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.483996\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.506466\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000307 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000157 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000589 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000433 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000229 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000297 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000488 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000262 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000495 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000821 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001470 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000677 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000310 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000892 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000312 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000480 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000136 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000256 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000146 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000143 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000266 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000257 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000284 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000181 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000285 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000304 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000309 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000348 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000255 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000139 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 11\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000102 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 2\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000278 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "Training until validation scores don't improve for 5 rounds\n", - "Did not meet early stopping. Best iteration is:\n", - "[7]\tvalid_0's binary_logloss: 0.514657\n", - "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 2\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", - "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000270 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000265 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 2\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "Training until validation scores don't improve for 5 rounds\n", - "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000333 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000454 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "Did not meet early stopping. Best iteration is:\n", - "[7]\tvalid_0's binary_logloss: 0.571934\n", - "Evaluated only: binary_logloss\n", - "Did not meet early stopping. Best iteration is:\n", - "[7]\tvalid_0's binary_logloss: 0.525647\n", + "[10]\tvalid_0's binary_logloss: 0.457678\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.447269\n", + "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[7]\tvalid_0's binary_logloss: 0.586075\n", + "[10]\tvalid_0's binary_logloss: 0.462973\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", + "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "You can set `force_row_wise=true` to remove the overhead.\n", + "And if memory is not enough, you can set `force_col_wise=true`.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\n", - "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 2\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", + "[LightGBM] [Info] Start training from score 0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000497 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", - "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", - "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000390 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000577 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[7]\tvalid_0's binary_logloss: 0.565491\n", - "Evaluated only: binary_logloss\n", - "Did not meet early stopping. Best iteration is:\n", - "[7]\tvalid_0's binary_logloss: 0.528234\n", + "[10]\tvalid_0's binary_logloss: 0.514447\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.482835\n", + "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[7]\tvalid_0's binary_logloss: 0.558795\n", + "[10]\tvalid_0's binary_logloss: 0.452599\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000443 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 2\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000305 seconds.\n", + "Training until validation scores don't improve for 5 rounds\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000482 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", - "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000374 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000521 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 510\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 2\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[7]\tvalid_0's binary_logloss: 0.589879\n", + "[10]\tvalid_0's binary_logloss: 0.480688\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.526858\n", "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[7]\tvalid_0's binary_logloss: 0.569968\n", + "[10]\tvalid_0's binary_logloss: 0.485531\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000501 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2805\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 11\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", + "[LightGBM] [Info] Start training from score -0.000000\n", + "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[7]\tvalid_0's binary_logloss: 0.566081\n", + "[10]\tvalid_0's binary_logloss: 0.486894\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005578 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000176 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000182 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000148 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000160 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000151 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000165 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000169 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000156 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000173 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000152 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000171 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000134 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000120 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000172 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000210 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000127 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000263 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000175 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000168 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001996 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000143 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000268 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000190 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000146 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000212 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000107 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000155 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000269 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000163 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000171 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000148 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000242 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000146 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000162 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000386 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002778 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000295 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000196 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000260 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000332 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000156 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000357 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000167 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000271 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000098 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000154 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000183 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000186 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000240 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000157 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000422 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000174 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000418 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 395, number of negative: 405\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000253 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "[LightGBM] [Info] Number of positive: 396, number of negative: 404\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000155 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000188 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Info] Number of positive: 494, number of negative: 506\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000178 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 1000, number of used features: 9\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000184 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", @@ -17838,157 +192177,158 @@ "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000122 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000448 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.56876\n", + "[10]\tvalid_0's binary_logloss: 0.459424\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000862 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000607 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.446305\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.479313\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 444, number of negative: 456\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002583 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000435 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n", "[LightGBM] [Info] Start training from score 0.000000\n", "Training until validation scores don't improve for 5 rounds\n", - "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.612354\n", - "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000281 seconds.\n", - "You can set `force_row_wise=true` to remove the overhead.\n", - "And if memory is not enough, you can set `force_col_wise=true`.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 1\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000819 seconds.\n", + "You can set `force_col_wise=true` to remove the overhead.\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", - "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.623429\n", - "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.609415\n", - "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000451 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000595 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.649635\n", + "[10]\tvalid_0's binary_logloss: 0.491277\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000318 seconds.\n", + "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.469163\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000478 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", - "Training until validation scores don't improve for 5 rounds\n", - "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.580063\n", - "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "Training until validation scores don't improve for 5 rounds\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.592034\n", + "[10]\tvalid_0's binary_logloss: 0.448531\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000171 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005672 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "Training until validation scores don't improve for 5 rounds\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000291 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003054 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", + "Training until validation scores don't improve for 5 rounds\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.475492\n", + "Evaluated only: binary_logloss\n", + "Did not meet early stopping. Best iteration is:\n", + "[10]\tvalid_0's binary_logloss: 0.489766\n", + "Evaluated only: binary_logloss\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.619967\n", + "[10]\tvalid_0's binary_logloss: 0.514635\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", + "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] Number of positive: 445, number of negative: 455\n", - "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000335 seconds.\n", + "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000330 seconds.\n", "You can set `force_col_wise=true` to remove the overhead.\n", - "[LightGBM] [Info] Total Bins 255\n", - "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 1\n", + "[LightGBM] [Info] Total Bins 2295\n", + "[LightGBM] [Info] Number of data points in the train set: 900, number of used features: 9\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n", "[LightGBM] [Info] Start training from score -0.000000\n", "Training until validation scores don't improve for 5 rounds\n", "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.606731\n", + "[10]\tvalid_0's binary_logloss: 0.498824\n", "Evaluated only: binary_logloss\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "Did not meet early stopping. Best iteration is:\n", - "[10]\tvalid_0's binary_logloss: 0.622506\n", - "Evaluated only: binary_logloss\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n", - "[LightGBM] [Warning] Unknown parameter: eval_metric\n" + "2.92 s ± 142 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n" ] } ], "source": [ + "%%timeit -n 10\n", "from probatus.feature_elimination import EarlyStoppingShapRFECV\n", "\n", "model = lightgbm.LGBMClassifier(n_estimators=200, max_depth=3)\n", @@ -18007,7 +192347,7 @@ "outputs": [ { "data": { - "image/png": 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", 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8/Jj3r9Fo+O677/jnP/9JeHg477//PjfddBM9evTgoosuarInpeHrYMPLwIEDG51b3ztyySWXuI6df/75ruG9pvTq1Yvo6GhSUlK4/vrr6dmzJ19//TWBgYFHfB6lpaVMnjyZkSNHsnr1ajZt2sS5555LbW2t65wFCxYQEBBw1Jqg+iHqkJCQI57TUHh4OGeccQZffPEFlZWVgDoE98EHHzBs2DCOO+64Zt1PV+D7lXjiqEaMGOFWBH3JJZcwZMgQZs2axZQpU1wvVF999RX//Oc/2bhxo9sfW8Ngk5GRgVarbdYb1vLly/n666+5++67XXU/DcXGxpKens7KlSu5/vrrWblyJSeddBLjxo3j5ptvJjMzk23btuF0Ot1e7Kurq1mwYAFvvfUWBw4ccBs7Ly0tbfQ4KSkpbtf37NkDQHp6uttxvV5Pamqq27G7776bH3/8kREjRtCzZ09OO+00Lr300iZrD5qSnp7OxIkTGx1ft24diqJw3333cd999zV527y8PBITE3E6nTz77LP8+9//JisrC4fD4TqnPWodmnL492znzp2AGoyOpLS09JhvXkf6frSGyWRqNKPOYrHQrVu3RmHcYrE06428qduGh4e71aSBWs/29NNPs337drchlMO/b821Z88etFotPXv2dDseFxdHWFiY63e2Xvfu3RvdR3h4eKvCSlOMRiOPP/44d9xxB7GxsZxwwglMmTKF6dOnExcXd8zbH96++t+L+vbVP5/Dn29AQADJycnNbuO9997LvffeS3Z2NsuXL+fZZ5/lww8/RK/Xs3jxYrfzD38dbNi2goICt2NLlizBZrMxZMgQt9qlkSNH8u6773LTTTc1up9PPvmE0NBQ9Ho93bp1Iy0t7ZjP4aWXXmLv3r2sWrWK+Ph4PvvsM8444wwuueQSPvzwQ3Q6HVu3bmXw4MFHrQkKDQ0F1BllYWFhx3xcUMPmZ599xn//+18uvfRSVq9eze7du7n11lubdfuuQnqA/IxWq+Wkk04iOzvb9ca2cuVKzjrrLEwmE//+97/53//+xw8//MCll1561PUijqZfv3706tWLd95554j1FyeeeCIrV66kurqaDRs2MHbsWPr3709YWBgrV65k5cqVBAcHu02Tvvnmm3nkkUeYNm0aH374Id9//z0//PADkZGRTfZCNOzJaKk+ffq4ppGeeOKJfPLJJ5x44ok88MADrb5PwNXOO++8s8lPpT/88IPrzeHRRx9l9uzZjBs3jsWLF/Pdd9/xww8/0K9fv2b1ukDTvXOAW5hq6PDvWf3jPPnkk0dsb3BwcLPa0l4a9uo153hzfo+bc9vFixdz5ZVXkpaWxhtvvMG3337LDz/8wMknn9zsn8eRNHdxxNY+x5b8Htx22238/fffLFiwAJPJxH333UefPn34448/Oqx9rRUfH8/FF1/MihUrSE9P58MPP2zTGjb1tT5jxowhPT3ddfnll19Ys2ZNkz1t48aNY+LEiYwfP75Z4Qdg9erV9OjRg/j4eABOOeUU3nnnHT7//HOuuuoqcnNz+fzzz49Zk1M/5X/Lli3Nfo5TpkzBYrG4Jgi899576HS6JmvOujLpAfJD9S8OFRUVgPrpxWQy8d1337l90njrrbfcbpeWlobT6eSvv/465lozUVFRfPzxx5x44omccsop/PLLLyQkJLidM3bsWN566y0++OADHA4Ho0ePRqvVuoLRtm3bGD16tNsL6scff8yMGTN4+umnXcesVmuzCwjrCyh37tzpmqkB6nBaVlYWgwYNcjs/KCiIiy66iIsuuoja2lrOO+88HnnkEebOndvqqdT1PU16vf6YPSIff/wxJ510Em+88Ybb8ZKSEte0Wzj6m2d4eHiT3589e/Y06vVqSv0LemhoaLv14Piqjz/+mNTUVD799FO37/nhobglKz336NEDp9PJzp07XcX+ALm5uZSUlLh+Z9uqvifm8N+Fw3uY6qWlpXHHHXdwxx13sHPnTgYPHszTTz/dqHelpeqfz65duzjppJNcx+12O7t3725yWKo59Ho9AwcOZOfOnRQUFDSrt+pwWVlZrF69mlmzZjF+/Hi3rzmdTq644gree++9RkP6raHRaMjOzsZut7uGAqdNm0ZeXh4333wzK1asIDw8nOuuu+6o9zN16lQWLFjA4sWL3XrLj8ZoNHLBBRfw9ttvk5uby0cffcTJJ5/cqu+ZL5MeID9js9n4/vvvMRgMrhdbnU6HRqNx+yS4e/duPv/8c7fbnnPOOWi1Wh566KFGn3ab+nTXrVs3fvzxR6qrqzn11FMpLCx0+3r9H+vjjz/OwIEDXTU4Y8eOZenSpfz222+N/qB1Ol2jx3r++eeP2JtxuGHDhhEdHc3LL7/sNta+aNGiRm8Mh7fXYDDQt29fFEU54uyR5oiJiWHChAm88sorZGdnN/p6fn6+6/9NPd+PPvrIVSNUr359kqaCTlpaGr/++qvb8/3qq68azXo7kqFDh5KWlsZTTz3lCs1Ham9XVx/GG/5M1q5dy5o1a9zOq6/9aE4wr18ccuHChW7Hn3nmGQDOPPPM1jbXTY8ePdDpdK66u3r//ve/3a5XVVVhtVrdjqWlpRESEtLi9WmaMmzYMCIjI3nttdfcemrefffdZg3j7dy5s8nZaCUlJaxZs4bw8PBWLzha3/tz1113ccEFF7hdpk2bxvjx41s0G+xoJk6c6BrSb2jWrFlMmjSJ3bt3c+qppx5z7bJRo0YxefJkXn/99Uav2aAu3XDnnXc2On7ZZZdhs9m4/vrryc/P96/ZX3WkB6iL++abb1xLw+fl5fHee++xc+dO5syZ4xo7PvPMM3nmmWeYPHkyl156KXl5ebz44ov07NnTrf6hZ8+e3HvvvTz88MOMHTuW8847D6PRyPr160lISGj0h1x/m++//54JEyYwadIkfvrpJ9fj9uzZk7i4OHbs2MHNN9/sus24ceO4++67ARoFoClTpvDOO+9gsVjo27cva9as4ccff2x2PYxer+ef//wn119/PSeffDIXXXQRWVlZvPXWW416Q0477TTi4uJcS8Nv27aNF154gTPPPLPZBYdH8uKLL3LiiScyYMAArr32WlJTU8nNzWXNmjXs37/ftc7PlClTeOihh5g5cyajR49my5YtvPvuu43ampaWRlhYGC+//DIhISEEBQUxcuRIUlJSuOaaa/j444+ZPHky06ZNIyMjg8WLFze7q16r1fL6669z+umn069fP2bOnEliYiIHDhzg559/JjQ0tFlL9//+++9N9h6kpaUddbE4bzJlyhQ+/fRTzj33XM4880yysrJ4+eWX6du3r1s4NJvN9O3blyVLlnDccccRERFB//79m9x2YdCgQcyYMYNXX32VkpISxo8fz7p16/jPf/7DOeec49ZL0hYWi4ULL7yQ559/Ho1GQ1paGl999RV5eXlu5/3999+ccsopTJs2jb59+xIQEMBnn31Gbm5uuwyRGAwGHnzwQW6++WZOPvlkpk2bxu7du1m0aBFpaWnH7D3btGkTl156Kaeffjpjx44lIiKCAwcO8J///IeDBw+ycOHCIw7DHcu7777L4MGDSUpKavLrZ511FjfffDO///47xx9/fKseo961117L4sWLuf/++/ntt9847bTTsNvtfP7556xcuZIxY8awaNEixo4dy1VXXXXU+3r77bc57bTTOO+885g6dSqnnHIKQUFB7Ny5kw8++IDs7GzXWkD1xo8fT7du3fjvf/+L2Ww+6jINXZZH5p6JDtfU9E+TyaQMHjxYeemll9ymMyuKorzxxhtKenq6YjQald69eytvvfVWo+m69d58801lyJAhitFoVMLDw5Xx48crP/zwg+vrDafB11u7dq0SEhKijBs3zm2K9YUXXqgAypIlS1zHamtrlcDAQMVgMCjV1dVu91NcXKzMnDlTiYqKUoKDg5VJkyYp27dvbzTVu/75r1+/vsnvz7///W8lJSVFMRqNyrBhw5QVK1Y0mtb7yiuvKOPGjVMiIyMVo9GopKWlKf/4xz+U0tLSI3/jlUPTio81jTgjI0OZPn26EhcXp+j1eiUxMVGZMmWK8vHHH7vOsVqtyh133KHEx8crZrNZGTNmjLJmzZpGbVUURfnvf/+r9O3bVwkICGg0dfzpp59WEhMTFaPRqIwZM0b57bffjjiN+aOPPmqyvX/88Ydy3nnnub4fPXr0UKZNm6YsXbq0Wd+PI10a/tyaOw0+KCio0eOMHz++ySnNh/8+HmkafFO3nTFjhtKjRw/XdafTqTz66KNKjx49FKPRqAwZMkT56quvGp2nKIqyevVqZejQoYrBYHCbEt/U35XNZlPmz5+vpKSkKHq9XklKSlLmzp3rtkxCU8+lYfuPNX1cUdTp+eeff74SGBiohIeHK9dff72ydetWt+9xQUGBctNNNym9e/dWgoKCFIvFoowcOVL58MMPj/qYR/r9aepnqCiK8txzz7m+jyNGjFBWrVqlDB06VJk8efJRn0Nubq7y2GOPKePHj1fi4+OVgIAAJTw8XDn55JPd/nYU5divAw1/7hs2bFAA5b777jviY+/evVsBlNtvv11RlEM/y/z8/KO2+UgqKyuVe++9V0lLS1P0er0SGRmpnHfeecq6desUm82mjBs3TtHr9cqPP/54zPuqqqpSnnrqKWX48OFKcHCwYjAYlPT0dOXmm29Wdu3a1eRt/vGPfyiAMm3atFa139dpFKWDKtOEEEKIZnI6nURHR3Peeefx2muvebo5wg9IDZAQQohOZbVaG9W2vf322xQVFR1zKwwh2ov0AAkhhOhUy5Yt4/bbb+fCCy8kMjKS33//nTfeeIM+ffqwYcMGj220KvyLFEELIYToVMnJySQlJfHcc89RVFREREQE06dP57HHHpPwIzqN9AAJIYQQwu9IDZAQQggh/I4EICGEEEL4HakBaoLT6eTgwYOEhIS0aEl7IYQQQniOoiiUl5eTkJCAVnv0Ph4JQE04ePDgEVcCFUIIIYR327dvH926dTvqORKAmlC/zcG+fftc2zYIIYQQwruVlZWRlJTUrO2KJAA1oX7YKzQ0VAKQEEII4WOaU74iRdBCCCGE8DsSgIQQQgjhdyQACSGEEMLvSAASQgghhN+RACSEEEIIvyMBSAghhBB+RwKQEEIIIfyOBCAhhBBC+B0JQEIIIYTwOxKAhBBCCOF3JAAJIYQQwu9IABJCCCGE35EAJIQQQgi/IwGokymK4ukmCCH8kKIoOJ3y+iNEvQBPN8DfVNU62Ly/lHiLiTiLCZNe5+kmCSG6MIdT4UBxNXuKKqmxOdFpNeh1WgJ0GvS6uv9rtYf+X/ev6/91XwvQyedl0bVIAPKAyho7u/IqyMivIDzIQLzFREyICZ1W4+mmCSG6CIdTYX9xFXsKq6i1O92OO5wOsLXs/jQaCNBp0Ws16AO0BGibCEoBmsZhSqtFK69twgtJAPIgRYGiilqKKmrZrisnJsRIgsVMeJDB000TQvgou8PJvuJq9hZVYWsQfNpKUcBmd6q5qdbRotvq6oLQod4lNSgZ6gJTgE6DQaclQNfg/1rpdRIdSwKQl3A4FLJLrGSXWDHpdcRZTCSEmQg0yI9ICHFsNoeTfUVV7C2qwu7wrlofh0PB4ei8XieDTotGI71O4ujk3dULWW0OdhdUsrugEkugnniLidhQE3r5NCSEOIzN4WRvURX7vDD4tFVH9jrpA9RgFaBrEJ6k18mvSADycqVVNkqrbPydW05UsJF4i5moYIN8uhHCz9Xa64JPcRWOLhZ82kNre520WtBp3UNRw14ng06tadJpNGg1oNVq0GrU6xotdcc1aLW4jksNlHeSAOQjnE7IK6shr6wGQ4CWuLpZZKEmvaebJoToRDV2B3sLq9hfUi3BpwM4neB0OrHZAVrW63Q0Oq0GjUb9V1sfkjT1xzV1x3F9TafVoNOCRqNpEKRwfU2jaRi2Dt1XU/ctmiYByAfV2p3sLaxib2EVwaYA1xCZTKkXouuqsTvYU1jFgeJqHLKej8+p/5l19jCl5rBeKrdeq7qApWsYqpoIUW4hS3NYYHP1hh26va/0ekkA8nEVVjs7rRXsylOn1CdYzESHGGVKvRBdhNVWF3xKqnC236Qu4ScUpW44EKWlo4Ft1rDHyhWQ6q6HmvUcFxvSyS1yJwGoi2g4pV6n0xAbYiLeYpIp9UL4KKvNQVZBJdml1RJ8hE9yOsGJ0mSvlzeMzEkA6oIcDoWDJdUcLKnGbFCn1MdbZEq9EL6gulYNPjllEnyE6EjyjtjFVdc6yMqvJCu/krBAPfFhZmJCjDKlXggvU1VrV4NPqRXZMlCIjicByI+UVNkoqbKxQwvRwSbiw0xEBsmUeiE8qbJGDT65ZRJ8hOhMEoD8kNMJuWVWcsusrin18RYTITKlXohOU1FjZ7cEHyE8RgKQnzt8Sn2CxUysxYgxQKbUC9ERyq02sgoqySur8XRThPBrEoCES4XVzt/WcnbmlRMRZCAhzEx0sNEn1nMQwtuVWW1k5VeSXy7BRwhvIAFINKIoUFhRS2FFLQE6DbGh6hBZWKBMqReipUqr1R6fAgk+QngVCUDiqOwOhQPF1RworibQNaXejNkgQ2RCHE1plY2MggqKKmo93RQhRBMkAIlmq6p1kJlfSWZ+JeFBeuIsZmJDjLJ7shANlFTVkpFfSXGlBB8hvJkEINEqxZU2iitt/K3VEB1iJN5iIkKm1As/VlRZS1ZBBcWVnb3hgBCiNSQAiTZxOBVySq3klFox6rXEhZqIDzMTbJRfLeEfCitqyCqopKRKgo8QvkTepUS7qbE52VNYxZ7CKkJMAcRbzMRZTBgCZIhMdD0FdcGnVIKPED5JApDoEOVWO+XWcnbllxMRZCTBYiJKptSLLiCv3MrugirKqiX4COHLJAB1IkVReGlZBhGBBpIizH5RL+N0QkF5DQXlNQToNOosslAzlkBZdVr4lrwyK5kFlVRY7Z5uSos5nQrbcsqotTsJNgYQbAogxKgn0KhD6wevQ0I0RQJQJ9q0v5QXft4FQGKYmdFpkZyQGonF7B9hwO5Q2F9Uzf4idUp9fJiZeIsJk16m1AvvpCgKeeU1ZOZXUlnjm8Fn3e4ivtqSTU6ptdHXNRoIMtQHogA1HNUFpGBjACGmALfAFGwMwKTX+sWHN9H1SQDqRCa9lsn94vhxWy4HSqr5aMN+Pvl9P/0TLIxOi2RQUpjf7NJeVesgI6+CjLwKwoMMxFtMxMiUeuElFEUht6yGzIIKqmocnm5OizmcCuuyivhqy0Fy67bcCDToiAs1UV5jp8Jqp9rmQFHUPckqauzkNPO+dVqNKyiFHB6UGoYno971f6kDFN5IoyiyDd/hysrKsFgslJaWEhoa2q73XVlj58e/clm/u4jVGYVkFlS6vhZo0DEiOYLRaZGkRAX53acsnUypFx6mKArZpVZ2F1RSVeubwefXrEK+3pxNXt3K00EGHaf2jeWU3rFuC5jaHU4qax1UWO2U19jq/lXDUIX10L+uYzV2au3OVrXLEKBtFJSOFpqCjDoCtBKaurLwID1De0S0+/225P1bAlATOjoArckodF3PKbWyOqOANZmFFDeYTRJnMTE6NZJRaZGE++EWFEa9lvi6VaeDZEq96GBOp0J2mZU9Php87E4nv2YW8fWWbNdeY8HGAE7rG8vJvWPabZi5xu44FI4OD0gNjpc3CFCOVr7FBBp0TQSkBsNxJvevBRqknqk9KIqC3alQa3dS63C6/rU1uq40+npNk+cdum5zHLpfm8PJoG5hfHjDqHZtvwSgNurMAFSvvkhxdUYhf+wtodahftLSAH3jQxmdFsng7mF+uUt7qFlPvMVEbKhMqRfty+lUOFhazZ7CKqp9NPisySjkf1tyyK84FHwm9YvlpF7tF3xaS1EUqm0Ot4BU3lQPU4PwVFljpzVvShoNhwKTsUFdUxNDcvU9UMYA36hnak0osTU4XusWQg6/3uB+6+6zs0JBv4RQvr5lbLvepwSgNvJEAGqoutbBb3vUIbKdeRWu4ya9luE91CGynjHBPvGH2560WogMMhIfZiIqSKbUi9ZzOhUOlKjBx2rzweDjcLI6o5D/bc2moG6vsRBTAJP6xjGhV7THg09bOJ0KlbX2JkPT4WGp/v/VrfwZBtTVM4Uc1pukHtO7h6m6r9XXaTYVSo4aLnwklDSk1ajDlwad1vWvvv56w/+7vqZpdK6xyfO0RIcYGJkSSWSwsV3bLAGojTwdgBrKK7eyJqOQNZmFrhc6gOgQo2uILKqdf4F8gT5AXXU6zmLym1l0ou0cTnVz3z1FldTYWlfP4kl2h5NVGYX8b0s2hZWHgs/kfnFMOC4aow8Hn7awO5xNDr816nFyBSkbNkfr3vqMAVoU8NpQYgjQom9lKDk8zHRkHZbUAHkpbwpA9ZyKws7cClZnFPDbnmJqGhQj9ooNYXTPSIZ2D/fpT36tFWjUkVC36rQ/Pn9xbA6nwv5idZXy1hbyepLN4WTVrgL+tzWHorrgE2oKYHL/OMYfF+2XQ+NtVVM3NNd0QHIPS/Vfdx7h3bKloUS9rvG6UNKZJAB5KW8MQA3V2Bz8vreE1RkFbM8pd30KMQZoOb57OKPTIukVF+J3BYEaDQ2m1JvQyRCZ37M7nOwvrmZPURU2Hw0+v+ws4H9bs12TJCxmPZP7xTHuuCgJPp2ovp6p3GpHq9F0yVDSmSQAeSlvD0ANFVbUsCazkDUZheTWzf4AiAgyuIbIYkNN7fZ4vkKn0xATYiTeYiYiyP9m0fk7u8PJvuJq9vpw8Fm5s4BvDgs+p/ePY1x6tEwGED5PApCX8qUAVE9RFDLyK1mdUcD63cVuRYE9o4MZnRbJsORwAg3+N6XcpNcRZzGREGbyy+fvT2wOJ3uLqthXVIW9lTUenlRrd7JiZz7fbs2hpG6vsfBAPaf3j2dsepTfLJQquj4JQF7KFwNQQ7V2Jxv3qUNkf2aXUf8T1us0DElSh8j6xof65SwqS6DeVTwtbyZdh83hZE9hFfuKq3D4aPBZ/nc+3/6ZQ2mD4HNG/3hOlOAjuiBvCEDycbgLMgRoGZESwYiUCEqqal1DZAdLrazbXcS63UWEmfWckBrJ6LRIEsLMnm5ypymtslFaZWNnXjlRwUbiLCaig41+t6RAV1Frd7K3qJJ9xdU+GXxq7A6W/53Pd3/muoJPRKCBMwbEMaanBB8hOpL0ADXB13uAmqIoCnsKq1iVUcC6rCIqGyz6lhwZyOi0KEakRBDsh6su10+pjw8zEWqSKfW+oMbuYG9hFfuLq3EcaWqOF6uxOVj2dz7f/ZlDWd3u8hFBBs4cEM/otEgJPqLL84YeIAlATeiKAaghm8PJ5v2lrM4oYMuBUtfUzgCthkHdwhjdM5J+CaF+ObMhyBhAQpi66rRMqfc+VpuDvUVVHPDh4PPzjny++yuH8rrgExVs4Iz+avCRzYCFv/CGAOR/H/cFep2WoT3CGdojnLJqG2uzilidUcC+4mo27C1mw95iQkwBnJCiDpElRQR6usmdprLGzs7cCnbV7VKfYDETHWKUKfUeZrU52F1YycGSapy+N6kLq83Bzzvy+O7PXCpqDgWfMwfEMyot0i8/bAjhadID1ISu3gN0JPuKqlidUcivWYWuT6cASeFmRqdFMTIlglA/XHVZp9MQG2Ii3mIiXKbUdyqrzUFWQSXZpb4bfH7ansf3fx0KPtEhRs4cEM8JqRESfITf8oYeIAlATfDXAFTP7nSy9UAZazIK2bS/BHvdUINOo2FAooVRaZEM6mbxy+56s0GdUh9vkSn1Ham6Vg0+OWW+GXyqax0s3Z7LD3/luurtYkKMnDkwnhNSIqVHUfg9bwhA8gouGgnQahmcFMbgpDAqrHbW7VaHyHYXVrFxfwkb95cQZNAxsm6IrEdkoN/MoqqudZCVX0lWfiVhgXri6napl6LV9lFVayczv5LcMiu++NGsqtbu6vGpqgs+saFGpgxIYERKhAQfIbyI9AA1wd97gI7kYEm1OkSWWehapA0gwWJidFoUJ6RGEBbof0NEWi1EB6trC0UFG/wmDLanyho7WQW+HXyWbsvjh22Hgk9cqIkpA+MZkRzhl2tuCXE03tADJAGoCRKAjs7pVPgru4zVGYX8sa/YtauyRgP94kMZnRbFkO5hftkrYgjQuobIQmRK/TFV1NjJyq8kr9x3g88Pf+Xy47Y81+rrcRYTUwfEM1yCjxBH5A0ByCveoV588UWSk5MxmUyMHDmSdevWHfFcm83GQw89RFpaGiaTiUGDBvHtt982Ou/AgQNcfvnlREZGYjabGTBgAL/99ltHPg2/odVq6J9o4bpxqTx94SCmn9CDtOggFAW2Hizj1ZWZzP5wE2+v2U1GfgX+lLFr7U72FlaxNrOIXzML2VNYSY3dcewb+plyq43N+0v4NaPQJ3t9KmvsfL7xAHd/soUvN2dTbXOQYDFx3dhUHpraj5GpkRJ+hPByHq8BWrJkCbNnz+bll19m5MiRLFy4kEmTJrFjxw5iYmIanT9v3jwWL17Ma6+9Ru/evfnuu+8499xzWb16NUOGDAGguLiYMWPGcNJJJ/HNN98QHR3Nzp07CQ8P7+yn1+UFGgIYd1w0446LJrfMypqMQlZnFlJUWcuKnQWs2FlAbIiRUWmRjEqNJDLY6Okmd5oKq52dVnVKfUSQgYQwM9HBRr9+Yyyz2sjKryS/wca9vqSixs6Pf+WydPuhHp+EMBNTByYwtEc4Whn+FMJneHwIbOTIkQwfPpwXXngBAKfTSVJSEjfffDNz5sxpdH5CQgL33nsvN910k+vY+eefj9lsZvHixQDMmTOHVatWsXLlyla1SYbA2sapKOzIKWd1RiEb9hZTW7cbtwboHRfC6LQoju8ehtEPFxoM0GmICVE3ZvWneqnSKhuZBRUUVtR6uimtUmG18/22HH7anofVpv4+J4aZmToonuO7S/ARoqWiQ4wMSgpr9/v1mVlgtbW1bNiwgblz57qOabVaJk6cyJo1a5q8TU1NDSaTye2Y2Wzml19+cV3/4osvmDRpEhdeeCHLly8nMTGRG2+8kWuvvbZjnohwo9Vo6BMfSp/4UC6zdWfDnmJWZxSyI7ecbTnqZfFaLcN6hDM6LYr02GC/eQOxOxQOllRzsKSaQNeUejNmQ9cMgyVVtWQWVFLko8Gn3Grj+79y+Wl7HjV1QT4p3MyUgQkM6R7mN7+3QjSXVgvGAB3GAC0mvfqvMUCHUa91HTPotF7RE+7RAFRQUIDD4SA2NtbteGxsLNu3b2/yNpMmTeKZZ55h3LhxpKWlsXTpUj799FMcjkN1FpmZmbz00kvMnj2be+65h/Xr13PLLbdgMBiYMWNGo/usqamhpuZQl3xZWVk7PcPGDAFaYkKNFFTU+OT6Ji1l0usY0zOKMT2jKKioUYfIMgrJr6hhVUYhqzIKiQo2MCo1ktFpUUSH+M8QWVWtg8z8SjLrptTHh5mJDTF2ifWViivV4FNc6bvB57s/c/l5h3vwOWtQAoOSfC/4aLWQEGbGoNNS63BSa29wcTix++BGsqLzBeg0jcJMfcAx6dV/DQG+8/rl8Rqglnr22We59tpr6d27NxqNhrS0NGbOnMmbb77pOsfpdDJs2DAeffRRAIYMGcLWrVt5+eWXmwxACxYsYP78+Z3Sfr1Oy8BuYdTaneSWWTlYUu226nJXFhVsZOqgBKYMjGdnXgWrMwr5bU8RBRW1fLk5my83Z5MeE8yYtCiG9gjvsr0iTSmpslFSZeNvrYboEHWX+sgg35tSX1hRw+7CSoorbcc+2QuVVdv47s8cfv473zV02z0ikKkD4xmcFOZzPw+tFhLDAukRGXjUve2cTkUNRk2EI7d/7U5sDqfPFa2Lo9No1A/n9T03Rr17qKn/t6utY+XRABQVFYVOpyM3N9fteG5uLnFxcU3eJjo6ms8//xyr1UphYSEJCQnMmTOH1NRU1znx8fH07dvX7XZ9+vThk08+afI+586dy+zZs13Xy8rKSEpKau3TahZDgJakiECSIgIpt9rILrWSU2p1veh2ZRqNhuNiQzguNoRLRiSxcW8JqzIK2ZZdxs68CnbmVfDeur0M6R7GmLQoeseFeEV3aWdwOBVy6n4XjPr6XerNBBu9+7NKQUUNuwsqKanyzeBTWm3j2z9zWL4jn1qH+jfYIzKQqQMTGNTN0mWDz6HzNZi0umZvANwwFNnq/q1pEJAaBiZf3LS2K9FqweTqtWncY1Pfm+Nrv+PtwaOvqgaDgaFDh7J06VLOOeccQO29Wbp0KbNmzTrqbU0mE4mJidhsNj755BOmTZvm+tqYMWPYsWOH2/l///03PXr0aPK+jEYjRqPnhl5CTHpCTHrSY4LJr6ghu8RKYaV/DJEZA3SMTI1kZGokRZW1/JqpDpHllFlZm1XE2qwiwgP1riGyOIvp2HfaRdTYnOwprGJPYRUhpgDiLWZiLUaMAd7TM5ZfXkNWQSVl1b4ZfEqqatXg83e+az2r5MhAzhqUwIBE3ww+CWFmkiODmh1mWsMQoFWHOprxsulwKq4wVONw1IUkpUEvk8MVnmQormUCdJpGdTaHrvvekFRn8/gssCVLljBjxgxeeeUVRowYwcKFC/nwww/Zvn07sbGxTJ8+ncTERBYsWADA2rVrOXDgAIMHD+bAgQM8+OCDZGVl8fvvvxMWFgbA+vXrGT16NPPnz2fatGmsW7eOa6+9lldffZXLLrvsmG3qyFlgzVVrd5JTauVgaTUVfjJEVk9RFLIKKlmdUci63UWulXUBUqOCGJ0WyfDkCIK8vFekI2g0EBlsJMFiIsqDU+rzyq1k5Vf67PBtU8EnNSqIqYMS6J8QKsHHQ+qH4mxNDL3V2N2P2xzOLvshseGQlKlBz40r3HTRIan24HMrQb/wwgs8+eST5OTkMHjwYJ577jlGjhwJwIQJE0hOTmbRokUALF++nP/7v/8jMzOT4OBgzjjjDB577DESEhLc7vOrr75i7ty57Ny5k5SUFGbPnt3sWWDeEIAaqh8iyy61YvODIbKGbA4nm/aVsDqjkK0HS6nvTQ/QahicFMbotEj6JVj88oUgQKchNtREgsWMJbBzVp3OLbOSVVDps6G8uKqWb7bmsOLvfNcmv2nRQUwdmEA/CT4+x+Y4dr2S2vPkxOElvUs6rabJOhv3ISr/HJJqDz4XgLyNtwWgek6nQkGlfw2RNVRabXMNkR0oqXYdt5j1nJASwei0KBLDzR5soecEGnTEh5mJt5ja/Y1QURRyy9Shrsoa3ww+RZW1fLM1m5U7C1zBp2d0MFMHxdM3XoKPP3ANxR0WlA6vYVJnxbWu0FvvGnpqEG707r03/rhFUGeSANRG3hqAGvL3IbJ9RdWsyihgbVYRFQ3elHtEBjI6NZIRKRF+uxdXeJCeeIuZmDZOqVcUhZy6Hp+qGt/czqOospb/bcnml12Hgk96TDBnDUqgd1yIBB/RJEVRDutJUlz1SrV2pW46uPusKVOAzm8ma3gzCUBt5AsBqKEyq43sEis5Zf43RGZ3ONlyoJTVGYVs3l+Ko+7XWafVMLCbhdGpkQzoZiFA63+funR1U+rjLSYiWjClXlEUskut7C6odKu/8iWFFTX8b2sOv+wqcM1COi42mKkDJfgI0ZVJAGojXwtA9RoOkRVU1PjdWh3lVhvrsopYlVHI3qIq1/FgYwAnpEYwOjWKpAizz735tQejXkt83arTRyoedzoVssvU4FPto8GnoKKG/23JZlVGoSv49IoNYeqgeHrH+c7fcj0JPkK0jASgNvLVANRQjd1BbmmNXw6RARwormZ1RgFrMgspa/D8E8PMjOkZyciUSCxm/xwiCzXribeYiA01YQjQ4nQqHCipZk9hFVabbwaf/HI1+KzOKHT1AvaOC+GsQQkcFxvi4da1nFYL8RYzKVESfIRoCQlAbdQVAlBD/jxE5nAq/HlQHSLbuK/EVQei1UD/BAuj0yIZlBTml4WJWi1EBBkpt9qosfnm70V+eQ1fb8lmTYPg0yc+hLMGJpAuwUcIvyMBqI26WgCq53QqFFTUcLDUSqEfDpFV1thZv7uI1RmFZBZUuo4HGnSMSI5gdM9IUiKD/HKIzNfklln5eks2v2YWupZG6BsfytRB8aTHSPARwl9JAGqjrhqAGqqxO9RZZCVWn53a3BY5pVbXEFlxg+0b4iwmRqdGMiotkvBAgwdbKJqSW2blq83ZrM06FHz6JYRy1qAE0qKDPdu4VpDgI0T7kgDURv4QgBoqrbaRXVpNTqnV75aidzoVtueUsyqjgD/2lrj2gdKg9iiMTotkcPcwr9p+wh/llFr5astB1mYVuXou+yeGctbABFIl+Agh6kgAaiN/C0D1/H2IrLrWwYY9xazKKGBnXoXruEmvZXiPCEanRdIzJliGyDpRdmk1X23OZt3uQ8FnYKKFKYPiSY2S4COEcCcBqI38NQA15O9DZPnlNa4hsoKKWtfx6BCja4gsKthzG+h2dQdL1OCzfncR9S9Qg7pZmDowgeSoII+2rTW0WogLNZMaLcFHiI4kAaiNJAC58+shMkVhZ24FqzMK+G1PMTUNZtH1ig1hdM9IhnYPlze1dnKgpJqvNh/kt93FruAzOCmMqQPj6REpwUcIcXQSgNpIAlDTnE6F/IoaDpZUU1RZ63dDZDU2B7/vLWF1RgHbc8pdb9DGAC3Hdw9ndFokveJC0MoQWYsdKK7my80H2bDnUPAZ0j2MqQMT6B4R6NG2tYYEHyE8QwJQG0kAOjarzeHai8xX94lqi8KKGtZkFrImo5Dc8hrX8Yggg2uILDbU5MEW+oZ9xVV8tSmbDXuLXceOrws+ST4cfFKigjAbJPgI0dkkALWRBKCWKa22cbCkmtwy/xsiUxSFjPxKVmcUsH53MdUNVlLuGR3M6LRIhiWHE2hoevsJf7W3qIovNx/kj70lrmNDe4QzZWA8SeESfIQQrSMBqI0kALWOvw+R1dqdbNynDpH9mV3mev56nYYhSeoQWd/4UL/eMXpvYV3w2VcCqMsNDO0RztSBCSSGmz3attbQaA7N6pLgI4TnSQBqIwlAbefvQ2QlVbWuIbKDpVbX8TCznhNSIxmdFklCmO+94bfW7sJKvtqUzcb9JYAafIYnR3DmwHgSffD7IMFHCO8kAaiNJAC1r9IqGwdL/XeIbE9hFasyCliXVURlg13WkyMDGZMWxfCUCIKPsEO7r9tdUMkXmw+yeX8poAaHEckRnDkg3icDoAQfIbybBKA2kgDUMZxOhbxydYf6Yj8cIrM5nGzeX8qajEK2HCh1bd4ZoNUwqFsYo3tG0i8hlACt72/MmllQwZebstly4FDwGZkSwZQBCcRZfK84XIKPEL5BAlAbSQDqeFabg+xSK9l+OkRWVm1jbVYRqzMK2Fdc7ToeYgrghJRIRveM9Mli4Iz8Cr7cdJCtB8sANTickBLJmQPjifPBWXEajbo/XGpUsAQfIXyABKA2kgDUuUqrbBwoqSav3P+GyAD2FVWxOqOQX7MKKbceWnU7KdzM6LQoRqZEEGrWe7CFx7YrTw0+f2arwUergRNSIzlzQLxPLgcgwUcI3yQBqI0kAHmGw6mQ78dDZHank60HyliTUcim/SXY67Y712k0DEi0MCotkkHdLATovGeIbGduOV9sPsi27HJADT6jUtUen5gQ3w0+KVFBsnSBED5IAlAbSQDyPNcQWUk1VbX+N0RWYbWzbrc6RLa7sMp1PMigY2SKOousR2SgxzZm/Tu3nC83HWRbjhp8dBoNo9LUHp/oEN/bI02CjxBdgwSgNpIA5F1Kqmo5WGIlt9yKww+HyA6WVKtDZJmFlFTbXMcTLCZGp0VxQmoEYYGGTmnLjpxyvtx8kO0Ngs+YnpGc3l+CjxDC8yQAtZEEIO/k70NkTqfCX9llrM4o5I99xdjqwqBGA/3iQxmdFsWQ7mHo23mITFEUduSW88Wmg/ydWwGATqvhxJ5RnNE/jshgCT5ez2GD3K3gdEJgBARGgkle20TXIwGojTo0ANVWQdlBiEgBrRRXtpa/D5FV1dr5bXcxqzIKyMivdB0363UMTw5nTM8oUqOC2jREpigK23PU4LMzTw0+AXXB53QJPr6jugSyN4Kt2v24zqAGocBICIoCve+tyyTE4SQAtVGHBqCaCti9EgKMEJkOlm7qq7JoNX8fIssts7Imo5DVmYUUVda6jseGGBmVFsmo1MgWhRVFUdiWrQ51NQw+Y9OjOL1/PBFBnTPc1p40GogNNZEa7UfBB6AoCwr+BsV57HP1gYcCUWAkBPjez1kICUBt1CkBqJ4xBKJ7q5/ARJs4nAp55VYOllgpbhAE/IVTUdiRU87qjEI27C2m1q6+6WmA3nEhjE6L4vjuYRj1Tfc8Koo6xPbFpoOuXqUArYZx6dFM7h8nwceXOGyQvRkq81p/H8YQCIyqC0QR0mMtfIIEoDbq1ABULzAKonvJuHw7sdocHCypJqfU6pdDZFabgw17ilmdUciO3HLXcWOAlmE9whmdFkV6bDBajQZFUfjzoBp8MgvU4KPXqcHn9P5xnVZg3Z78NvgAVBVB9iawW499bnNptGCy1AWiCDCHS8+18EoSgNrIIwEIAA2EJkDUcaD3vTVUvFVJVW3dQos1fjlEVlBRow6RZRSSX1HjOh4VbGB4cgQ7csrdgs/446KZ3E+Cj08qzICCnUAH/55rA9QQVD9cJh/chJeQANRGngtAdTQ6CE+GiFTQ+eGLeAfx9yEyRVHYlVfBqoxCfttThNV2qC7EoNMyvpcafCxevup0U/w++NhrIWczVOZ75vF1hrrZZXVDZgbf28ZFdA0SgNrI4wGons4AUelgSZLu5nZWXesgu7Sa7FIr1X44RFZjd7Bxbwl/7CshKtjIqX1jJfj4qqoidZaXveaYp3YavbmudyhKCqpFp5IA1EZeE4DqGYLUQungmPZtiwCguLKWg6X+O0Tmi+qDT0pUEEFGPw0+igJFmZ0z5NVWxpAGgUgKqv2SvRZqK9RLTYX6OxDdq90fpiXv3376yuFjaivhwAYwR0BMb7UYUbSb8CAD4UEGejmc5JXXkF1aTXGl7dg3FJ1Ogk8de406y6uqwNMtaZ6acvVSvLtBQXV9/VAYaL1nfzvRRvYaNeDUlqvvXfX/dxz2mmqO8Ez7GvDjVxAfVF0Ee1ZDSLyanGXhsnYVoNOSEGYmIcxMda2Dg6XqLDJ/HCLzNhJ8GqgsVIe8HD5ax6Y4obpYvRTualBQXVdDJAXVvsFmrevNKa/r2akLO07f+fDo568kPqo8GypyGxRK+17thrczG3SkRQeTFh1McaU6iyy/vAaH08uHGroYCT4NKIoaGAoz8Pohr5Zw2tXi7cp8YIf6euZakDFKCqo9rbZKDTe15XW9OZVq4HHaPd2yNvPzVxQfpjjV8f/SfRCRBmE9pBu5g9QPkdlliKzTSPA5jM2qzvKqKvR0SzqewwblOeoFGhRU169Q7XtbsHg9RQFbVV3AaVCnU1sJStftAZdXFl/nsEH+dijZqw6LhcR5ukVdVlNDZNklVqy2rvsC0dkk+DShskBd2NBXh7zaylYNpfvVCzQoqI5U60hkqZDmU5RDPTgNw05tZfO2S+li5Denq7BVwcE/1LH06F7qv6LDNBwiK6qs5aAMkbWJBJ8mKIo6w6sow9Mt8S5SUH1sTuehYOOq06lU3yf8MOgcibzSdDXVxbD3VwiOVYOQIcjTLeryIoIMRNQNkeWW15BdUk1JlQyRNYcEnyOwWdVC5+piT7fEux1eUK3R1RVTR9QFoi4+Y9bpcB+uqq/TsVXTperEOoi84nRVFblqUWFYd7VGSBYi63ABOi2JYWYSw8xU1do5WGIlp1SGyJoiwecoKvIhZ1PjacPi2BRHg4JqDiuojvTdD4QOe+PanNpyNShL0Gm1Fr/yZGVlYbfbSU9Pdzu+c+dO9Ho9ycnJ7dU20VaKU+0mLj0AkakQlizdw50k0BBAz5hgesbIEFlDGg3EhJhIiQ4iWIKPO0WB/B1QnOXplnQdhxdUB5ggKMp7C6odtkPDVQ3rdNpzY1vh0uJXoCuvvJKrrrqqUQBau3Ytr7/+OsuWLWuvton24rTVvbDuUYfFQhM83SK/IkNkEnyOyVYNBzeCtcTTLena7Fb3gmpD8KFA1JkF1Yevilz/f2/azsQPtPin/ccffzBmzJhGx0844QRmzZrVLo0SHcRuVWeTFO9Wt9YI9PxKnP7EH4fIJPg0Q3ku5GzxqQXkuoz64FG8G9CoNUP1gag9Cqpt1ibW0GliVWThES1+RdJoNJSXlzc6XlpaisPRdV/IuxRrKexbC0Exao+QMdjTLfI79UNkadFBFFXWkl1q7VJDZBJ8msHphIIddW++wvMUtQfOWnKooNocDkF1w2XG0CNvSm2rrlsJ2XdXRfZHLX5lGjduHAsWLOD9999Hp1M3tHM4HCxYsIATTzyx3RsoOlBlnlosaOmm7jrvbePhfkCj0RAZbCQy2NhlhshiQyX4HFNtlTrLy1rq6ZaII1Ec6l5r9fut6fTqMFlgpPo119BVZZdYFdkftfgV6vHHH2fcuHH06tWLsWPHArBy5UrKysr46aef2r2BoqMp6mrS5dnqthrhybJTs4c0NUSWXVpNjc031u2Q4NNM5TmQs1V6B3yNw6bOrq3I9XRLRDtp8QBn37592bx5M9OmTSMvL4/y8nKmT5/O9u3b6d+/f0e0UXQGpx0K/oas5WqBoNI1hmJ8Vf0Q2Yk9oxjSPYw4i8lrJ/DFhpo4IS2SAd0sEn6OxumE3D/VBUsl/AjhcRpFkXe6w5WVlWGxWCgtLSU0tJ13Jq6pgN0r2/c+O4IxRC2UDorydEtEHZvDSW6ZlexSK6VeMEQWE2okNTpYQk9z1Faqs7xqyjzdEiG8gzkCuo9s97ttyft3i1+5VqxYcdSvjxs3rqV3KbxRTTnsX6/uxhzdC0ztHARFi+l1WrqFB9ItPJDKGjvZpdVkl1o7fYhMgk8LlWVD7lapExHCy7T4FWzChAmNjmkaVMbLTLAupqoA9hSCJREi00Fv8nSLBBBkDKBnTAhp0cEUVtaSXWIlv8KKswOzUEyokZSoIEJM+o57kK7E6YS8v9QaOyGE12lxACoudt+bxmaz8ccff3DffffxyCOPtFvDhDdR1LqgsmyISIHwFNmB2UtoNBqigo1EBRuxOUI6ZIhMgk8r1FSos7xqGi8ZIoTwDi1+F7NYGm8ud+qpp2IwGJg9ezYbNmxol4YJL6Q41PUxSvaq0+YtSUdeF0N0uvYeIpPg00qlB9SeHxnyEsKrtdvH+NjYWHbs2NFedye8maNWnc1Sv6J0cIynWyQO05YhMgk+reR01A157fd0S4QQzdDiALR582a364qikJ2dzWOPPcbgwYPbq13CF9RWwoEN6sJg0b3UZeSFVzl8iCynVB0iK6tuPEQWHWIkNVqCT6vUlKuzvGorPN0SIUQztTgADR48GI1Gw+Gz50844QTefPPNdmuY8CFVhbBnNYTEq0FIb/Z0i0QT9DotSRGBJEUEUlFjJ7ukmpwyK6EmvQSftijdD7l/qUPEQgif0eIAlJWV5XZdq9USHR2NySSzg/xeeba6Smp4srqqtE7eUL1VsDGA9NgQ0mNDPN0U3+V0qNPbyw56uiVCiFZocQDq0aNHR7RDdBWKE4oy1am/kT3B0r3tOyoL4W2sZeosr9pKT7dECNFKrSqCrqysZPny5ezdu5fa2lq3r91yyy3t0jDh4xw2yNsGxXvUYbGQOE+3SIj2UbJP/d2WIS8hfFqLA9Aff/zBGWecQVVVFZWVlURERFBQUEBgYCAxMTESgIQ7W5W695E5XA1C5nBPt0iI1nHY1SGv8mxPt0QI0Q5aPDZx++23M3XqVIqLizGbzfz666/s2bOHoUOH8tRTT3VEG0VXUF0Me3+FA7/LsIHwPdYy2LNKwo8QXUiLA9DGjRu544470Gq16HQ6ampqSEpK4oknnuCee+7piDaKrqQiF3b/og4hODy/oacQx1S8B/auUXszhRBdRosDkF6vR1tX1BoTE8PevXsBdYXofftkzxvRDIpTXUQxc7laMN2RG1gJ0VoOuzp8m/eX+jsrhOhSWlwDNGTIENavX096ejrjx4/n/vvvp6CggHfeeYf+/ft3RBtFV+W0Qf6Ouq01joPQBE+3SAhVdYk6y8tW7emWCCE6SIt7gB599FHi4+MBeOSRRwgPD+f//u//yM/P59VXX21VI1588UWSk5MxmUyMHDmSdevWHfFcm83GQw89RFpaGiaTiUGDBvHtt98e8fzHHnsMjUbDbbfd1qq2iU5gq4bsTepiilVFnm6N8HfFu2HfWgk/QnRxLe4BGjZsmOv/MTExRwwfq1atYtiwYRiNxqPe35IlS5g9ezYvv/wyI0eOZOHChUyaNIkdO3YQE9N4j6l58+axePFiXnvtNXr37s13333Hueeey+rVqxkyZIjbuevXr+eVV15h4MCBLX2awhOspeobT3AMRPUCY7CnWyT8icMGOZuhIs/TLRFCdIIOW6Hu9NNP58CBA8c875lnnuHaa69l5syZ9O3bl5dffpnAwMAjbqvxzjvvcM8993DGGWeQmprK//3f/3HGGWfw9NNPu51XUVHBZZddxmuvvUZ4uEy99ikVeWqhdO6fYK/xdGuEP6guVn/nJPwI4Tc6LAAdvldYU2pra9mwYQMTJ0481CCtlokTJ7JmzZomb1NTU9No2w2z2cwvv/ziduymm27izDPPdLtv4UsUtTYoawUUZqjbDgjREYoyYd86sFs93RIhRCdq1UrQ7aWgoACHw0FsbKzb8djYWLZv397kbSZNmsQzzzzDuHHjSEtLY+nSpXz66ac4HIfeID/44AN+//131q9f36x21NTUUFNzqKehrKysFc9GdAinHQr+hpI9dYXSiaDReLpVoiuw10LOFqiUXh8h/JHPbdL07LPPkp6eTu/evTEYDMyaNYuZM2e6pubv27ePW2+9lXfffbfZG7QuWLAAi8XiuiQlJXXkUxCtYa9R36z2rILKAk+3Rvi6qqK63yUJP0L4K48GoKioKHQ6Hbm5uW7Hc3NziYtreu+o6OhoPv/8cyorK9mzZw/bt28nODiY1NRUADZs2EBeXh7HH388AQEBBAQEsHz5cp577jkCAgLceorqzZ07l9LSUtdF1jPyYjXlsH897Fuvrs4rREsVZsiQlxCi44bANM0YpjAYDAwdOpSlS5dyzjnnAOB0Olm6dCmzZs066m1NJhOJiYnYbDY++eQTpk2bBsApp5zCli1b3M6dOXMmvXv35u6770an0zW6L6PReMzZasLLVBXAnkKwJEJkOuib19sn/Ji9Vl1uoUp6EIUQHRiAmlMEDTB79mxmzJjBsGHDGDFiBAsXLqSyspKZM2cCMH36dBITE1mwYAEAa9eu5cCBAwwePJgDBw7w4IMP4nQ6ueuuuwAICQlptCBjUFAQkZGRslBjl6NA6X4oy4aIFAhPAZ1Hy9qEt6oqUhc2lFmFQog6LX63yMrKwm63k56e7nZ8586d6PV6kpOTASgvL2/W/V100UXk5+dz//33k5OTw+DBg/n2229dhdF79+511fcAWK1W5s2bR2ZmJsHBwZxxxhm88847hIWFtfSpiK5CcUDhrroVpdPBkiSF0kKlKOqQV+EuoHkfyoQQ/kGjNLerps748eO56qqrmDFjhtvxxYsX8/rrr7Ns2bL2bJ9HlJWVYbFYKC0tJTQ0tH3vvKYCdq9s3/sU7gzBEN1LXVBR+C97DWRvliEvIbyROQK6j2z3u23J+3eLi6D/+OMPxowZ0+j4CSecwMaNG1t6d0K0v9oKOLBBLXS1lnq6NcITKgvVhQ0l/AghjqDFQ2AajabJ4a3S0tImZ1gJ4TFVher+YqEJ6hpCerOnWyQ6mqKow12FGciQlxDiaFrcAzRu3DgWLFjgFnYcDgcLFizgxBNPbNfGCdEuyg6qK0rn71D3exJdk82q9vpJvY8Qohla3AP0+OOPM27cOHr16sXYsWMBWLlyJWVlZfz000/t3kAh2oXiVLc8KN0HkT3B0h20PrcOqDiSygJ1lpcEXCFEM7X4HaBv375s3ryZadOmkZeXR3l5OdOnT2f79u0yzVx4P4cN8raphejlOZ5ujWgrRYH8v9XFMSX8CCFaoFWLpiQkJPDoo4+2d1uE6Dy2Kjj4B5jD1Rlj5nBPt0i0lM2q9vpUF3u6JUIIH9SqAFRSUsIbb7zBtm3bAOjXrx9XXXUVFoulXRsnRIerLoa9v0JIHET1AkOgp1skmqMiD3I2S6+PEKLVWjwE9ttvv5GWlsa//vUvioqKKCoq4plnniEtLY3ff/+9I9ooRMcrz1GHxfK2yZuqN1MUyNuuLnMgPychRBu0eCHEsWPH0rNnT1577TUCAtQOJLvdzjXXXENmZiYrVqzokIZ2JlkI0c9p9RCZCmHJUijtTWzVcHAjWEs83RIhRFt5wUKILR4C++2339zCD0BAQAB33XUXw4YNa3lrhfA2Tps6Zb5kr7p+UGiCp1skynMhZ4v6sxFCiHbQ4o+3oaGh7N27t9Hxffv2ERIS0i6NEsIr2KrV3cP3rFY30xSdz+lUhyUP/i7hRwjRrlocgC666CKuvvpqlixZwr59+9i3bx8ffPAB11xzDZdccklHtFEIz7KWwr61at1JTYWnW+M/aqtg369QvNvTLRFCdEEtHgJ76qmn0Gg0TJ8+HbvdDoBer+f//u//eOyxx9q9gUJ4jYo8qMiHsCSITIcAg6db1HWV50DOVun1EUJ0mBYVQTscDlatWsWAAQMwGo1kZGQAkJaWRmBg15k+LEXQ4pi0ARCRCuHJoNV5ujVdh9MJ+dvU+ishRNfla0XQOp2O0047jW3btpGSksKAAQPa1FAhfJbTDgV/Q8meukLpRNBoPN0q31Zbqc7yqinzdEuEEH6gxTVA/fv3JzMzsyPaIoTvsdeos5P2rFL3oxKtU3ZQLTaX8COE6CQtDkD//Oc/ufPOO/nqq6/Izs6mrKzM7SKEX6opV/ej2v+b+n/RPE6nGiCzN6m9akII0UlaXAR9xhlnAHDWWWehadDlrygKGo0Gh8PRfq0TwtdU5qs9QZZEtVBab/J0i7xXTYW6l5cERiGEB7Q4AP38888d0Q4huhAFSvdDWTZEpKjF0lIo7a70AOT+CYp8YBJCeEaLA9D48eM7oh1CdD2KAwp31a0onQ6WJCmUdjrU4FN2wNMtEUL4uVbtBi+EaAFHrfqmX7wHontBcIynW+QZNeXqLK9aWUxSCOF5EoCE6Cy1Fepq0oGRahAyWTzdos5Tsk/d0kKGvIQQXkK2uhais1UVqlO+szep+411ZU6H+jxzt0r4EUKobFWw43/w5+cebYb0AAnhKWUH1S0fwpMhIg10XezP0VqmzvKqrfR0S4QQnqYokL8dMn+GvWvBUQOx/aHv2R6rjWzVK67dbmfZsmVkZGRw6aWXEhISwsGDBwkNDSU4OLi92yhE16U4oSgTSvdBZE+wdAdtF+iYLdlbN+Tl9HRLhBCeVFWkbv+U+bP6ga+eJQkGXqT2Envow1+LH3XPnj1MnjyZvXv3UlNTw6mnnkpISAiPP/44NTU1vPzyyx3RTiG6NodNDQz1hdIhcZ5uUes47OpwV3m2p1sihPAUhx0O/g6ZyyD7D7X3ByDABN1HQdpJ0G0k9DjBo81scQC69dZbGTZsGJs2bSIyMtJ1/Nxzz+Xaa69t18YJ4XdsVXDwDzCHq0HIHO7pFjWftVSd5WWr8nRLhBCeULpf7enJWum+rU10L0g9CZJOOLQ4rBcsCdLiALRy5UpWr16NwWBwO56cnMyBA7K2hxDtoroY9v6q9gRF9QJDoKdbdHTFe9TxfRnyEsK/2KrU16qMn6Fw56HjpjBIGQepEyA0wVOtO6oWByCn09nkdhf79+8nJCSkXRolhKhTngMVeRDWXa0R0uk93SJ3Dpu6l1dFrqdbIoToLK6C5mVq+HHUqMc1Wkg4Xg09CYNB690TO1rcutNOO42FCxfy6quvAqDRaKioqOCBBx5w7RMmhGhHihOKd6vbR0SmQliydxRKV5eos7y6+lR+IYSquhiyVjQuaA5JUOt6kseCOcxjzWupFgegp59+mkmTJtG3b1+sViuXXnopO3fuJCoqivfff78j2iiEAHDaIH9H3dYax3m2W7koCwr+liEvIbo6p12tS8z4Wf3AU/83H2BUC5pTT1Jfj7ygpqelWhyAunXrxqZNm1iyZAmbNm2ioqKCq6++mssuuwyz2dwRbRRCNGSrVhcXLN4N0b0hMKLzHtthg5zN6rCcEKLrKj3QoKC59NDxqF7qEFf3UYcKmn2URlHq56eJemVlZVgsFkpLSwkNDW3fO6+pUNdEEKK9BMeoQcgQ1LGPU12szvKyWzv2cYQQnmGrhr1r1OBT0LCg2QLJ4yBtAoQmts9jmSOg+8j2ua8GWvL+3eIeoAULFhAbG8tVV13ldvzNN98kPz+fu+++u6V3KYRoi4o8qMiHsCSITIcAw7Fv01JFmeoLogx5CdG1KAoU7ICMZbBvDdgbFjQPUYe4fKCguTVa/IxeeeUV3nvvvUbH+/Xrx8UXXywBSAiPUNTaoLKDEJGqbq+h1bX9bu216iyvShnyEqJLqS6BrOXqTK6GC5eGxKuhJ2Wsb61D1gotDkA5OTnEx8c3Oh4dHU12tqz+KoRHOe1qcXLDQunWFidWFalFj/WfCIUQvs1pV4exM39WC5sbFjQn1a3Q7KMFza3R4gCUlJTEqlWrSElJcTu+atUqEhK8c7EjIfyO3aoWKxdnQXQfCIo89m0aKsyoqwGQEkEhfF7ZAXWIa/cKdcX2elHpam9P91Gg979JTC0OQNdeey233XYbNpuNk08+GYClS5dy1113cccdd7R7A4UQbVBTDvvXQVC0uhy98RiLldpr1RlmVQWd0z4hRMewWRsUNP996LjRog5vpZ4ElnYqaPZRLQ5A//jHPygsLOTGG2+ktrYWAJPJxN13383cuXPbvYFCiHZQmQ+VBeoLXmR609NXZchLCN+mKGrYyfxZDT+NCponqP92wYLm1mj1NPiKigq2bduG2WwmPT0do9HY3m3zGJkGL7o0jQ4iUtRiaa1OfdEszIDCXciQlxA+qLpEfV/J/FmdCFEvJE7t6Uke27nrhTWHL06DrxccHMzw4cNbe3MhhKcoDjXslO6DiDR1H6+qQk+3SgjREk6HWsicuQwO/n6ooFlnhO4nqL090b39pqC5NVocgCorK3nsscdYunQpeXl5OJ3u64JkZma2W+OEEB3IXgN5f3m6FUKIlig7eGiFZmvJoeOR6eosru4ngD7QY83zJS0OQNdccw3Lly/niiuuID4+Ho2kSyGEEKLj2Kyw71d1P66CHYeOG0MbFDR381z7fFSLA9A333zD119/zZgxYzqiPUIIIYRQFCjcqYaevWsObUGj0UD84LoVmo8HnRQ0t1aLv3Ph4eFERHhZMZUQQgjRFbgKmpep6/fUC45T63pSxnlfQbOPanEAevjhh7n//vv5z3/+Q2CgjDMKIYQQbeJ0qEtQZC6DA7+rExWgrqB5pNrbIwXN7a7FAejpp58mIyOD2NhYkpOT0ev1bl///fff261xQgghRJdVdlANPVkrDito7qmGnh6jpKC5A7U4AJ1zzjkd0AwhhBDCD9itsPdXNfjkbz903BgCyeMgbQJYkjzVOr/S4gD0wAMPdEQ7hBBCiK5JUdS1tzJ/hj2rpaDZS8h3WwghhOgI1lJ1vZ7MZVC2/9Dx4Ni6gubxUtDsQS0OQA6Hg3/96198+OGH7N2717UfWL2ioqJ2a5wQQgjhU5wOdUPhzJ8PK2g2QNIJ6hBXdB8paPYCLQ5A8+fP5/XXX+eOO+5g3rx53HvvvezevZvPP/+c+++/vyPaKIQQQni38uxDBc3VxYeOR6apQ1zdR4NBCpq9SYsD0Lvvvstrr73GmWeeyYMPPsgll1xCWloaAwcO5Ndff+WWW27piHYKIYQQ3sVuhb1r6wqatx06bgxRNyBNPQnCpKDZW7U4AOXk5DBgwABA3RC1tLQUgClTpnDfffe1b+uEEEIIb+JW0LwG7NXqcY0G4gap+3ElDJWCZh/Q4p9Qt27dyM7Opnv37qSlpfH9999z/PHHs379eoxGY0e0UQghRFtVFalFuSjqm7jirPu/89B1RXE/dqT/N/vc+vNbeu6R/t+Sc4/S1ibPPUJbDz/XYVW/l/WCY9SenpRxEBjZGT9J0U5aHIDOPfdcli5dysiRI7n55pu5/PLLeeONN9i7dy+33357R7Sxa9mwCEyhEBTt6ZYIIfxBZQFs/lDdXgHF063pGnR6SKpboTmmD2i0nm6RaAWNoiht+otYs2YNa9asIT09nalTp7ZXuzyqrKwMi8VCaWkpoaGh7XfH2ZvglXGABhIGQ8+JED8EtPLHI4RoZ7WV8Nd/Ycc34LSpx8zh6lCNRgto6/6vOfL/Ndqjf73RuVpA04pzj3K7o5572P+P9XUOu0+Npu5Yw/8341xLkhQ0t5U5Qt3mo5215P27zYOUo0aNYtSoUW29G//gdEDyibD7Fzj4h3oJjIS0U9RxY3O4p1sohPB1Djvs+h62fga15eqxmD4w+HJ1RpIQAmhlD9DBgwf55ZdfyMvLw+l0un2tK8wC67AeIICaCti8BDKWQuZyqK1Qj2t00G0o9DwVYvtJl6oQomUUBfb9Cpveh4o89VhoIgy+VF1lWNadEd7EC3qAWhyAFi1axPXXX4/BYCAyMhJNgz8qjUZDZmZm61rtRTo8AO1eqf7fUatOodz1IxTsOHROcBz0PAVSx4OxnR9fCNH15G2DjYuhMEO9bgqDAReqqw1rdZ5smRBN88UAlJSUxA033MDcuXPRdtHalU4LQA2V7FWD0O6VYKubVqkNUFcOTZ8IUb3kE5wQwl3ZAdj4HhzYoF4PMEKfs6D3mRBg8mzbhDgaLwhALa4Bqqqq4uKLL+6y4cdjwrrDsKvU7uo9q9UwVJQJe35RL5ZuatF08jgpvhPC31WXwNaPIeMndbq2RgtpJ0P/C8Ac5unWCeETWtwDdNdddxEREcGcOXM6qk0e55EeoKYUZqhBaM9qcNSox3RG6DFaDUNS0CiEf7FZYftXsP1LsNe9JiQOg8GXqPU+QvgKL+gBanEAcjgcTJkyherqagYMGIBer3f7+jPPPNPiBr/44os8+eST5OTkMGjQIJ5//nlGjBjR5Lk2m40FCxbwn//8hwMHDtCrVy8ef/xxJk+e7DpnwYIFfPrpp2zfvh2z2czo0aN5/PHH6dWrV7Pa4zUBqF5tpXqbXT9CaYMdhSNS1SDUfTTopbtbiC7L6VBXHt7yMVhL1GORPWHwZeoMLyF8jRcEoBYPgS1YsIDvvvvOFSYOL4JuqSVLljB79mxefvllRo4cycKFC5k0aRI7duwgJiam0fnz5s1j8eLFvPbaa/Tu3ZvvvvuOc889l9WrVzNkyBAAli9fzk033cTw4cOx2+3cc889nHbaafz1118EBQW1uI0eZwiC4yZD+iS1WHrXj7D3V3WIbN2r8Mc76r4zPSeqQ2lCiK5BUeDg72qdT9kB9VhwLAy6RF2IT+oChWi1FvcAhYeH869//Ysrr7yyXRowcuRIhg8fzgsvvACA0+kkKSmJm2++uclhtoSEBO69915uuukm17Hzzz8fs9nM4sWLm3yM/Px8YmJiWL58OePGjTtmm7yuB6jJ+ymDzBVqGKrIOXQ8qlddr9BI0Bna/jhCCM8ozFBnduXVbbJpCIH+56lLZcg+U8LX+WIPkNFoZMyYMa1uXEO1tbVs2LCBuXPnuo5ptVomTpzImjVrmrxNTU0NJpP7cI/ZbOaXX3454uPUb9gaERHRDq32EsZQ6DMFep8BuX+qQWj/b2oPUcEO+P0/kDJenU4fmuDp1gohmqsiFzYtgb2r1etaPfQ6HfqerfYGCyHaRYsD0K233srzzz/Pc8891+YHLygowOFwEBsb63Y8NjaW7du3N3mbSZMm8cwzzzBu3DjS0tJYunQpn376KQ6Ho8nznU4nt912G2PGjKF///5NnlNTU0NNTY3rellZWSufkQdotBA3QL1UF0PmMti1FKoKYMfX6iW2n/qpMXGYfHIUwlvVlMOfn8LO79WaHzSQMhYGTIOgKE+3Togup8XvhuvWreOnn37iq6++ol+/fo2KoD/99NN2a1xTnn32Wa699lp69+6NRqMhLS2NmTNn8uabbzZ5/k033cTWrVuP2kO0YMEC5s+f31FN7jzmcOh3LvQ5G7I3qr1CB/9Qe4hy/wSTRd28L+1kdQdjIYTnOWrh7+/gz8/AVqUeixugFjiHJ3u0aUJ0ZS0OQGFhYZx33nnt8uBRUVHodDpyc3Pdjufm5hIXF9fkbaKjo/n888+xWq0UFhaSkJDAnDlzSE1NbXTurFmz+Oqrr1ixYgXdunU7Yjvmzp3L7NmzXdfLyspISkpq5bPyAlotJB6vXirz1bVCMn5WZ4/89bm6QaJsxiqEZylOdV/AzR+qPbagTmIYfBnED/Js24TwAy0KQHa7nZNOOonTTjvtiAGlJQwGA0OHDmXp0qWcc845gDpktXTpUmbNmnXU25pMJhITE7HZbHzyySdMmzbN9TVFUbj55pv57LPPWLZsGSkpKUe9L6PRiNFobPPz8UpB0TDwIuh/vrpa7M4fIXfLYZuxnqz2DAV2oRopIbxZzhbY+C4U71avB0bAgIvU2ZzygUSITtGiABQQEMANN9zAtm3b2q0Bs2fPZsaMGQwbNowRI0awcOFCKisrmTlzJgDTp08nMTGRBQsWALB27VoOHDjA4MGDOXDgAA8++CBOp5O77rrLdZ833XQT7733Hv/9738JCQkhJ0edJWWxWDCbze3Wdp+iDVCnzSaNhPJstU4oczlUFcKWj2DrJ2qNUM+JENdfNmMVoiMU74FN70H2JvW63gx9z4HjTocAmbUpRGdq8RDYiBEj+OOPP+jRo0e7NOCiiy4iPz+f+++/n5ycHAYPHsy3337rKozeu3ev27YbVquVefPmkZmZSXBwMGeccQbvvPMOYWFhrnNeeuklACZMmOD2WG+99Va7Td/3aSHxMORyGDgN9q2DXT9A/g7Yv069BMeqQShlPJhkM1Yh2qyqEDZ/BFnLAQU0Okg/VZ3WLhseC+ERLV4H6MMPP2Tu3LncfvvtDB06tNHCggMHDmzXBnqCT6wD1N5K9tVtxrrisM1YR6phKLq3LLomREvZquCvL2DH/9RiZ1A3OB50MYS0vYxACJ/lBesAtTgANbUJqkajQVEUNBrNEaej+xK/DED17Fb3zVjrhXZTd6VPHitrkQhxLA47ZPyoDi3XlKvHonvB4MshKt2zbRPCG3hBAGrxEFhWVlarGyZ8QIBJLYpOO1ldiTZjKexeBWX7YcMidUn+HqPVdYUiUqVXSIiGFEUdRt74/qEV2kMSYPClkDhU/l6E8CItDkDtVfsjfEBkmnoZfHmDzVj3qYstZi6D8BR1eKzHGNmMVYj8HerWFQU71etGCwy4ANJOUoeThRBepVV/lRkZGSxcuNA1G6xv377ceuutpKWltWvjhJcwBMJxkyD9NCj4Wy2a3rsWirNg/Wvwx2J1xdq0UyBcArLwM2UHYdP7sH+9el1nrNumZoo6y0sI4ZVaHIC+++47zjrrLAYPHuzaE2zVqlX069ePL7/8klNPPbXdGym8hEaj1jFE94Ljp6ubsWb8COU56vL9O7+HqOPUXqGkE2Rar+jarKVqjc+uH9VFDTUadT2t/hfImlpC+IAWF0EPGTKESZMm8dhjj7kdnzNnDt9//z2///57uzbQE/y6CLqlFKf7ZqxKXRG8IVg2YxVdk70Gtn8N275QJw0AJBwPgy8Biw+vIC9EZ/KCIugWByCTycSWLVtIT3efyfD3338zcOBArFZry1vsZSQAtdLhm7HWk81YRVfgdELWMnXh0Opi9VhEqrp1RWw/jzZNCJ/jBQGoxe9G0dHRbNy4sVEA2rhxIzExssGmX5PNWEVXpCjq7/PGd6F0v3osKBoGXgw9Rsmq6UL4qBYHoGuvvZbrrruOzMxMRo8eDag1QI8//rjbhqLCjzW1GWvmMvVTs2zGKnxJUaYafHL/VK8bgqDfeeqEAJ3es20TQrRJi4fAFEVh4cKFPP300xw8eBCAhIQE/vGPf3DLLbeg6QLrXMgQWAdw2uHA7+oMspwth47LZqzCG1XkweYlsGeVel0bAMdNhn7nqPVtQoi28YIhsGYFoC+++ILTTz8dvd79E095ubrCaUhISBua630kAHWw8py6zViXQW3dKrkarWzGKjyvtgL+/Bz+/lYN7QA9TlT3zZNhWyHaj68EIJ1OR05ODtHR0eh0OrKzs7t0vY8EoE7iqHXfjLWebMYqOpvDBn9/B399BrWV6rHYfuoioBEpnm2bEF2RFwSgZtUARUdH8+uvvzJ16lTXnl9CtJnOAMknqpfSfWqvUNZyqMhV6y42L5HNWEXHUpywZw1s/kCtVwN1KvvgSyF+sPzOCdGFNSsA3XDDDZx99tloNBo0Gg1xcUfexbgrbIYqPMCSBEOvVHfJ3rOmbjPWDLUGY88q2YxVtL/cP9WgXb/przkcBkxTex6lMF+ILq/ZRdDbt29n165dnHXWWbz11luEhYU1ed7ZZ5/dnu3zCBkC8xJFmWoQ2r0KHDXqMZ1BNmMVbVO6T93U9+Af6vUAE/Q9G3qdrv5fCNHxvGAIrEWzwBRF4aqrruL5558nOLjrzoSQAORlaqtgzy+w8wf1zateeIq60nSPE2UzVnFsVUWw9WPI/Fld20ejU39/+p+vrlElhOg8vhaAnE4nJpOJP//8s9FCiF2JBCAvpSh1m7H+CHt/BadNPR5gVuuIek6UzVhFY7Zq2Palun1FfU9itxHqcKts0yJE5zOFqZMMOmCSS4etBK3VaklPT6ewsLBLByDhpQ7fjDVrhTqDrDxH/XfXDxCVrg6PyWaswmlXF+Hc8gnUlKrHotLVmV3RvTzbNiH8kU4PUb0gzDv2zGvxQohffvklTzzxBC+99BL9+/fvqHZ5lPQA+RBFabAZ6/oGm7EG1W3GOlE+5fsbRYEDv8HG96FcXayV4Dh1s9JuI6RuTIhOpwFLN/WDRwevoN6hm6GGh4dTVVWF3W7HYDBgNpvdvl5UVNTyFnsZCUA+qrpEre/IWAqVDTZjjemnziBLHC6bsXZ1BTth4+JD60oZQ9Qan54T1dWchRCdyxiqDneZwzrl4Tp0M9SFCxe2tl1CdCxz2KHNWHM21W3G+jvk/alejBZImwBpp8iqvl1NeQ5seh/2rVWv6/TQ60zoexboAz3bNiH8kVavDjmHdffaXtcW9wD5A+kB6kIqC+o2Y/1Z3YwVAA3ED1J7BRKGgFbn0SaKNqgpg62fqvVfTgegUYc+B16o7jMnhOh8oQnq4rUBxk5/6A7tAQLIyMjgrbfeIiMjg2effZaYmBi++eYbunfvTr9+/VrVaCE6RFCUuo9T//PcN2PN3qheAiPUHiHZjNW32Gthx/9g23/VWV6ghtrBl6mfOIUQnc8YAjF9fea1tMU9QMuXL+f0009nzJgxrFixgm3btpGamspjjz3Gb7/9xscff9xRbe000gPUxR1xM9ahdZuxDpDNWL2V0wm7V8CWD9V1fQDCk9XgEzfAo00Twm9pAyCyp/q36OHhrg4tgh41ahQXXnghs2fPJiQkhE2bNpGamsq6des477zz2L9/f5sa7w0kAPkJh02tGdn1I+RvP3Q8OAbSJkLqBNmM1Ztkb1K3rijZq14PjIKBF0HyGAmsQnhKSBxE9/GaxWg7dAhsy5YtvPfee42Ox8TEUFBQ0MQthPBSOn0Tm7GugIo82PSe2suQNEJdV0g2Y/Wc4t1q8MnZol7XB6rF7sdNUrdGEUJ0PkOQOtwVFOXplrRaiwNQWFgY2dnZpKSkuB3/448/SExMbLeGCdGpjrgZ62r1EpqoDo+ljAVD190GxqtUFsDmD+t6TBW1WD19khp+jCGebp0Q/kmjg8g0dSsiH980uMUB6OKLL+buu+/mo48+QqPR4HQ6WbVqFXfeeSfTp0/viDYK0XkCTJB2knqp34x1zyooOwC//0edat19tLquUESa9Ap1hNpK+Ou/sOObQ9uddB8Ngy6C4FjPtk0IfxYco/b66M3HPtcHtLgGqLa2lptuuolFixbhcDgICAjA4XBw6aWXsmjRInQ6359SLDVAwo1rM9YfoXTvoePhyWqvkGzG2j4cdtj1PWz97FBxenQfGHKZWmAphPAMvVkNPj6wflqHFkHX27dvH1u2bKGiooIhQ4Z0qb3BJACJJslmrB1DUWDfr2rvWkWeeiw0EQZfCgnHSy+bEJ6i0UJEqtrb7SPDXR1SBO10OnnyySf54osvqK2t5ZRTTuGBBx5otBWGEF2WbMba/vK2qVtXFGao101hMOACdV0mWaBSCM8JjILYvmqxcxfV7AD0yCOP8OCDDzJx4kTMZjPPPvsseXl5vPnmmx3ZPiG8kzEEep8Jvc5w34y1YKd6+f0/shnr0ZQdgI3vwYEN6vUAI/SeCr2nyHCiEJ4UYFSHu0LiPN2SDtfsIbD09HTuvPNOrr/+egB+/PFHzjzzTKqrq9H6SNdYc8kQmGiV6hJ1ccWMH2Uz1iOpLoGtH6vbkyhOtYs97WTof0GnbZYohGiCRqvWNUb29One1w6pATIajezatYukpCTXMZPJxK5du+jWrVvbWuxlJACJNnE63Tdjrf8T8+fNWG1W2P4VbP8S7DXqscShMOhSsMjyGUJ4lDlCHe7qAstLdEgNkN1ux2Ry75rW6/XYbLbWtVKIrkqrVTdZTRii9gRl/qz2eFQXq9O7//oC4geqtUJdfTNWp0N9/ls+BmuJeiwyDQZfDjF9PNo0IfyezqD+HfrpMH2zA5CiKFx55ZUYjYd2d7Vardxwww0EBR0qkvr000/bt4VC+LKgKBhwobp434Hf1V6hnM3qtg7Zm7ruZqyKovZ+bXxPrfcBtddr0CVqgbjM7BLCgzTqpsFR6eqK+H6q2QFoxowZjY5dfvnl7doYIbosbYC6rUbSCHXWWEbdZqxVRbDlI9j6SdfZjLUwQ53ZlbdNvW4Ihv7nqT1efvxiK4RXMIVBbD/Z55A2rAPUlUkNkOgUDhvsW1e3Geu2Q8eDY+p6hSaAyeKx5rVYRS5sWgJ7V6vXtXrodTr0PbtLT6UVwifo9BDVC8KSjn2uD+uUhRC7MglAotOV7leDUNYKsFWpx7Q66DZSnUEW3cd7h41qyuHPT2Hn92rNDxpIHgsDp/n0RolCdA0asHRT1y/zgx5YCUBtJAFIeIy9BvauURdVrF8cENQixZ4TIWWc92zG6qiFv7+DPz87FNpiB6grOEekHP22QoiOZwxVh7v8aIkJCUBtJAFIeIWirLrNWH85NHVcp1c3Bu05UV2vwxO9QooTdv+i7tReVbfekaW7umdX/KDOb48Qwp1WrxY4h3X33p7jDiIBqI0kAAmvYqtSA8fhm7GGJavDYz3GdN7uzDlbYOO7ULxbvW6OUIe6ksf5zF5BQnRpoQkQ3Vtd0dkPSQBqIwlAwispChTuVIPQ3jUNNmM11W3GemrHbcZaslcNPtmb6h7TrBY39zpD9jwTwhsYgtXhrq60nEYrdMhCiEIID9NoIOo49XL8dMharg6RlWer/+76ESLT1eGx7qPaJ5hUFalDXVnLAQU0Okg/FfqdJ9NohfAG2gB1ODw82e+Gu9pKeoCaID1AwmcoCuT9pRZN71sPikM9bghSC6Z7ToTQVmw1YatSV6ze8T+12BkgaaS6kKEfbJIohE8IiVNniMoGwi7SAySEv9Bo1G7v2H6NN2Pd8Y16iemrBqFuI469GavTrvYkbf1End4O6tohQy5XiyqFEJ6nD1T/5mWZiTaRACREV2EOg37nQJ+z3DdjzftLvRgt6uKKPZvYjFVRYP862PS+ulI1QEi8OqU9cZh0rQvhDTQ6dS+98BSZdNAOJAAJ0dUcbTPWbf+FbYdtxlq4S926omCnenujBQacD2knq/UFQgjPC45Re3M7a8anH5BXNyG6smNtxmoIgdq6oS6dEXqfCX2myousEN5Cb1aDz+G9tqLNJAAJ4Q+OtBlrTbk6vJV6EvS/wO+n0ArhNTRaiEhVL1qdp1vTJUkAEsLfhMTB4MtgwDR1x/agKHXxNCGEdwiMgti+solwB5MAJIS/0unVWiAhhHcIMKrDXbLURKeQACSEEEJ4kkarLmQY2VOGuzqRBCAhhBDCU8wR6nCXMcTTLfE7EoCEEEKIzqYzQEwfqb/zIAlAQgghRKfRQFh3dWV1nd7TjfFrEoCEEEKIzmAKU7ewkI2EvYIEICGEEKIj6fTqnnphSZ5uiWhAApAQQgjRUSxJEN1Lhru8kAQgIYQQor0ZQ9XhLnOYp1sijkACkBBCCNFetHq1wDmsu7rNjPBaEoCEEEKI9hCaANG91RWdhdeTACSEEEK0hSFYHe6SzYR9itbTDQB48cUXSU5OxmQyMXLkSNatW3fEc202Gw899BBpaWmYTCYGDRrEt99+26b7FEIIIVpMG6D2+CSfKOHHB3k8AC1ZsoTZs2fzwAMP8PvvvzNo0CAmTZpEXl5ek+fPmzePV155heeff56//vqLG264gXPPPZc//vij1fcphBBCtEhIHCSPhYgUqfXxURpFURRPNmDkyJEMHz6cF154AQCn00lSUhI333wzc+bMaXR+QkIC9957LzfddJPr2Pnnn4/ZbGbx4sWtus/DlZWVYbFYKC0tJTS0nResqqmA3Svb9z6FEEJ0Ag2YLGqRc1CUpxsjmtCS92+P9gDV1tayYcMGJk6c6Dqm1WqZOHEia9asafI2NTU1mEwmt2Nms5lffvml1fcphBBCNCnACKGJED8I0k6GHqMk/HQRHi2CLigowOFwEBsb63Y8NjaW7du3N3mbSZMm8cwzzzBu3DjS0tJYunQpn376KQ6Ho9X3WVNTQ01Njet6WVlZW56WEEIIX6XRgjkcAiMhKFq2rejCPF4D1FLPPvss6enp9O7dG4PBwKxZs5g5cyZabeufyoIFC7BYLK5LUpIsVy6EEH5DH6iu25M4FHpOhKQREJkm4aeL82gAioqKQqfTkZub63Y8NzeXuLi4Jm8THR3N559/TmVlJXv27GH79u0EBweTmpra6vucO3cupaWlrsu+ffva4dkJIYTwStoACIqBmL6QMg5Sx6vT2INjQKvzdOtEJ/FoADIYDAwdOpSlS5e6jjmdTpYuXcqoUaOOeluTyURiYiJ2u51PPvmEs88+u9X3aTQaCQ0NdbsIIYToQowhEJEK3UZA2inQbSiE9wBDkKdbJjzE4wshzp49mxkzZjBs2DBGjBjBwoULqaysZObMmQBMnz6dxMREFixYAMDatWs5cOAAgwcP5sCBAzz44IM4nU7uuuuuZt+nEEKILk6nh8AotWA5KFpWZxaNeDwAXXTRReTn53P//feTk5PD4MGD+fbbb11FzHv37nWr77FarcybN4/MzEyCg4M544wzeOeddwgLC2v2fQohhOhqNOrGo/Whx2SR9XnEUXl8HSBvJOsACSGEDwgwHerhCYxUe32EX2vJ+7fHe4CEEEKIZtFowRxxKPQYgz3dIuHDJAAJIYTwXoYgNewERavr88gsLdFOJAAJIYTwHlq9urFoULTa06M3e7pFoouSACSEEMKDNOqCg/XFy+ZwKV4WnUICkBBCiM6lMzQoXo6CAIOnWyT8kAQgIYQQHUujBVPYodAjW0wILyABSAghRPvTmw/18ARGgk7eboR3kd9IIYQQbafR1e2gXreLumwxIbycBCAhhBCtYwypK16un6Lu0e0lhWgRCUBCCCGaR6s/1MMTGAV6k6dbJESrSQASQghxBA3314pUC5llirroIiQACSGEOCTAeGjlZdlfS3RhEoCEEMKfue2vFaXW9QjhByQACSGEv6nfXyswSt12QvbXEn5IApAQQnR1Gq0adoLrhrZkfy0hJAB1ugAjRKRBVSFYSwHF0y0SQnRV5nAITYDgONluQojDSADqbDo9RB+n/t9hh+oiNQxVFUJNuWfbJoTwfcYQCIlXg4/09AhxRBKAPEkXAMEx6gXAXnsoDFUVgq3Ks+0TQvgGvRlCEiA0XoqYhWgmCUDeJMCgvoCFxqvXbdXugche49n2CSG8h05/KPSYwz3dGiF8jgQgb6Y3g6WbegGoqTgUhqqLwGHzbPuEEJ1LW9drHJKgTlmXRQmFaDUJQL7EGKxewnuo162ldYGoCKqLwWn3bPuEEO1Po1XDTkiCGn5kyroQ7UICUBs4HA5sNk/2whghMEG9OJ1QU6aGouqSuoJqpwfbJjqSQeNAKx/+uzDNoRlcIXGyGrMQHUACUCsoikJOTg4lJSWebsoRhIISAorT/SK6DK1iI8VQgkErP9cuxRiq1vSEJMhGo0J0MAlArVAffmJiYggMDETjC+PwihOcDvWiOCQQ+TCnU+Fgbj7ZtXa6G8qkDMTX6QPrenri1SFuIUSnkADUQg6HwxV+IiMjPd2c1lOcas2Q014XiiQQ+ZLoqHAOHrBipxy9LKbpe3SGQ2v1mMM83Roh/JIEoBaqr/kJDAz0cEvaSKNVX4R1davD1vcO1YcieVP1aoaAANBocCha9BqHp5sjmkMbAMGxaugJjJQZXEJ4mASgVvKJYa+W0OrqZpc0DEQNeogkEHmVLvf711VptOreW6EJEBQDWq2nWySEqCN/jaJpWp26b5khSF1Z1hCkXte6Z+bkXgNY+Py/PdRIIbyRRu3hie0PaSdD4vHqTC4JP0J4FfmL9BMajeaolwcffPBoN1aDT4CpLhCFgj4IdEbWr1rOdVdf2aa2Ze3ezaUzriEhpTemsFi6pfXl7AsvYfuOv9t0v0J0KpMFontD6gRIGgFhSTJ9XQgvJkNgfiI7O9v1/yVLlnD//fezY8cO17Hg4EOzTxRFweFwEBBwhF8PjUbdx0wXQHS3FFCUwwqqm1+TYrPZOPXMc+l1XDqffvAO8XGx7D9wkG++/5GSktKWP9EWPK5eL29Ooo30gRCaqE5dNwR5ujVCiBaQHiA/ERcX57pYLBY0Go3r+vbt2wkJCeGbb75h6NChGI1GfvnlFzIyMjj77LOJjY0lODiY4cOH8+OPP7rdb3JyMguffVb9pKs3ozGF8Po7Szj34ukERsST3v94vvjqf0ds159/bSMjM4t/L3yKE0YOp0eP7owZfQL/fHAeJ4wc7jpv//4DXDL9aiISkgmKTGDYmAmsXfeb6+svvfoGaX0HYwiNptfAYbzz3gduj6Mxh/HSq29w1gUXExSZwCOPPwXAf7/8muNHjcMUFktqn0HMf+Qx7HZZUVscRYARwpOhx2hIHQ9RPSX8COGDpAeoHSiKQrXNMzNxzHpduxXEzpkzh6eeeorU1FTCw8PZt28fZ5xxBo888ghGo5G3336bqVOnsmPHDrp3737E+5n/0MM88cQTPPnU0zz//PNcNvM69mTuJMIS2miGWXRUFFqtlo8/+y+33XwjOl3jZf4rKioYf9qZJCbE88VH7xMXF8vvf2zC6VSn7n/23y+59c45LHxyARNPnsBX//uWmdfdRLfEBE4aP851Pw8+8hiPPfwAC598jACdjpW/rGb6Nf/Hc08/xtgxo8nIzOK6m24F4IF757TL91R0EVo9hMSqCxQGRsgMLiG6AAlA7aDa5qDv/d955LH/emgSgYb2+TE+9NBDnHrqqa7rERERDBo0yHX94Ycf5rPPPuOLL75g1qxZR7yfK6+8kksuuQSARx99lOeee451GzYyefJk9YQGU+4TExN57unHueveB5j/6BMMO34wJ40fy2UXTyM1JRmA95Z8TH5BIet/+ZmICHXX655pqa7He2rhC1x5xaXceP01AMy+dRa/rvuNpxa+4BaALp12ATOnX+66ftUNs5hz523MuPxSAFJTknn4gXu5654HJAAJdQaXa+PRaCliFqKLkb9o4TJs2DC36xUVFdx555306dOHsLAwgoOD2bZtG3v37j3q/QwcOND1/6CgIEJDQ8nLyzt0glYHAQYwBIIplJtuuZ2c/Xt4d9EbjBo5go8+/Zx+x5/AD0t/BmDj5i0MGTTAFX4Ot23HDsaMGul2bMyokWzbvsPt2LDjh7hd37RlKw89+gTBUYmuy7U33kp2Tg5VVVVHfY6iq9JAYBTEDYC0UyBhiNrzI+FHiC5HeoDagVmv46+HJnnssdtLUJB7HcOdd97JDz/8wFNPPUXPnj0xm81ccMEF1NbWHvV+Di8u1mg0ruGqJml1hIRHMfW8C5l67gX889EFTJp8Ov98/ClOPeUkzKb22RMpKMh98cqKikrmz5vLeedMbXSuqZ0eU/gIU1jdHlzxao2PEKLLkwDUDjQaTbsNQ3mTVatWceWVV3LuuecCao/Q7t27O/ZBNRo0Oj29+/Rl9erVYAxl4ODjeX3ROxQVlxIRbml0kz69erFqzVrXUBbAqjVr6dun91Ef6vjBg9ixc6fbcJrwI4YgdQZXSLzaGymE8Ctd711btJv09HQ+/fRTpk6dikaj4b777jt6T04rbNy4kQceeIArrriCvn37YjAYWL58OW+++SZ33303aDRcctnlPPrY45xz0eUsePRR4mOj+eP330mIi2bUyOH84/abmXb5TIYMGsjEkyfw5dff8Ol/v+TH/31+1Me+/567mHLeRXRP6sYF556NVqtl0+atbP1rG/98cF67Pk/hJQJMh/bgMoV6ujVCCA+SACSO6JlnnuGqq65i9OjRREVFcffdd1NWVtauj9GtWzeSk5OZP38+u3fvRqPRuK7ffvvtABgMBr7//nvuuOMOzjjzTOx2O3379uXFF18EYwjnnD+NZ/MKeOqZhdx65xxSknvw1qsvMmHc2KM+9qRTT+GrT5fw0KNP8PjTz6LX6+l9XDrXzJzers9ReJhWr67EHFo3g0sIIQCNoiiyydNhysrKsFgslJaWEhrq/inRarWSlZVFSkqK1Il4I2fDXe677qau1ppasvbsI0VfgEkrm6E2otGpM7hCE9SiZiliFsIvHO39+3DSAyS6Fq0WtAYab+rq6NKBSABoIChKHeIKjlVXKxdCiCOQVwjRtbl2ua8ju9x3PeZwNfSExKvLKwghRDNIABL+xRWIjOoeZsrhPUTCJxiC1eEtmcElhGglCUDCf2k0oAlQd7qHuk1dG/QQtWBTV9EJAkyHQo/M4BJCtJEEICHqNdjlHjhsl3s7KO27BIBoBp3+0PCWzOASQrQjCUBCHIlGo74B6+pWtlac7sNlEog6hjZA3XsrNFEtapaNR4UQHUACkBDNpdGCzgD1NdV+MuW+U2i06nT10LoZXNr22+JFCCGaIgFIiNY64pR7mWHWbOaIQ3tw6fTHPl8IIdqJBCAh2kuTM8wahCKhMoYcKmbWmz3dGiGEn5LlUUWLTJgwgdtuu811PTk5mYULFx71NhqNhs8//7zNj91e99MpNBq1liXAqG66aQwFfRDojOoqxf5Gb4aINEg+Ub1EpEr4EUJ4lAQgPzF16lQmT57c5NdWrlyJRqNh8+bNLb7f9evXc91117W1eW4efPBBBg8e3Oh4dnY2p59+ers+1uEcDgePPfYYvXv3xmw2ExERwciRI3n99dfbdsf1M8z0JjAG1wWiwK4diHQGCOsB3U+A1AkQfZza+yOEEF5AhsD8xNVXX83555/P/v376datm9vX3nrrLYYNG8bAgQNbfL/R0dHt1cRjiouL6/DHmD9/Pq+88govvPACw4YNo6ysjN9++43i4uL2faAGM8xqa2sxGAIOW4PIR2eYaQPq9uBKhMBImcElhPBa0gPkJ6ZMmUJ0dDSLFi1yO15RUcFHH33E1VdfTWFhIZdccgmJiYkEBgYyYMAA3n///aPe7+FDYDt37mTcuHGYTCb69u3LDz/80Og2d999N8cddxyBgYGkpqZy3333YbPZAFi0aBHz589n06ZNaDQaNBqNq82HD4Ft2bKFk08+GbPZTGRkJNdddx0VFRWur1955ZWcc845PPXUU8THxxMZGclNN93keqymfPHFF9x4441ceOGFpKSkMGjQIK6++mruvPNO1zlOp5MnnniCnj17YjQa6d69O4888kiL2/XII4+QkJBAr169QKNl38Ecpl02g7DYJCISUjh72uXs3ndQnSHlzTRaNfTED4a0kyF+kExfF0J4PekBag+KArYqzzy2PrBZbzQBAQFMnz6dRYsWce+996Kpu81HH32Ew+HgkksuoaKigqFDh3L33XcTGhrK119/zRVXXEFaWhojRow45mM4nU7OO+88YmNjWbt2LaWlpW71QvVCQkJYtGgRCQkJbNmyhWuvvZaQkBDuuusuLrroIrZu3cq3337Ljz/+CIDFYml0H5WVlUyaNIlRo0axfv168vLyuOaaa5g1a5ZbyPv555+Jj4/n559/ZteuXVx00UUMHjyYa6+9tsnnEBcXx08//cSNN954xN6tuXPn8tprr/Gvf/2LE088kezsbLZv396idi1dupTQ0FBXQLTZbK7brVy5koCAAP75z38yeeq5bN68GYNe52UF1Rp1YcKQeAiJkxlcQgifIwGoPdiq4NEEzzz2PQfVIttmuOqqq3jyySdZvnw5EyZMANThr/PPPx+LxYLFYnHr6bj55pv57rvv+PDDD5sVgH788Ue2b9/Od999R0KC+v149NFHG9XtzJs3z/X/5ORk7rzzTj744APuuusuzGYzwcHBBAQEHHXI67333sNqtfL2228TFKQ+/xdeeIGpU6fy+OOPExsbC0B4eDgvvPACOp2O3r17c+aZZ7J06dIjBqBnnnmGCy64gLi4OPr168fo0aM5++yzXc+hvLycZ599lhdeeIEZM2YAkJaWxoknntiidgUFBfH6669jMKhT6BcvXozT6eT11193hdO33nqLsLAwli1bxmmnnVY3w6x+yn2lGjoCI6G2GJxH7tVqV8bQumnrCWo9kxBC+CgJQH6kd+/ejB49mjfffJMJEyawa9cuVq5cyUMPPQSoBcCPPvooH374IQcOHKC2tpaamhoCA5u32eS2bdtISkpyhR+AUaNGNTpvyZIlPPfcc2RkZFBRUYHdbic0tGV7O23bto1Bgwa5QgbAmDFjcDqd7NixwxU0+vXrh053qMg4Pj6eLVu2HPF++/bty9atW9mwYQOrVq1ixYoVTJ06lSuvvJLXX3+dbdu2UVNTwymnnNKmdg0YMMAVfgA2bdrErl27CAlxLxK2Wq1kZGQ0fiCtTq23iU0HoxGspVBVCFVFUF3cvvuY6QMPTVs3Brff/QohhAdJAGoP+kC1J8ZTj90CV199NTfffDMvvvgib731FmlpaYwfPx6AJ598kmeffZaFCxcyYMAAgoKCuO2226itrW235q5Zs4bLLruM+fPnM2nSJCwWCx988AFPP/10uz1GQ3q9+9CMRqPB6Tx6gbFWq2X48OEMHz6c2267jcWLF3PFFVdw7733Yja3z9TthgEJcA0/vvvuu43OPWahuUYD5jD1EpmmrlBtLakLRIVqOGppUbXOcCj0mMNadlshhPABEoDag0bT7GEoT5s2bRq33nor7733Hm+//Tb/93//5xpyWbVqFWeffTaXX345oNb0/P333/Tt27dZ992nTx/27dtHdnY28fHxAPz6669u56xevZoePXpw7733uo7t2bPH7RyDwYDDcfQejD59+rBo0SIqKytdYWLVqlVotVq1qLgd1T//yspK0tPTMZvNLF26lGuuuabd2nX88cezZMkSYmJiWtwb1ohWq9bnBEYA6WrtUFXRoUBUU06Tq1Rr9XUzuBJkBpcQosvz8uklor0FBwdz0UUXMXfuXLKzs7nyyitdX0tPT+eHH35g9erVbNu2jeuvv57c3Nxm3/fEiRM57rjjmDFjBps2bWLlypVuQaf+Mfbu3csHH3xARkYGzz33HJ999pnbOcnJyWRlZbFx40YKCgqoqalp9FiXXXYZJpOJGTNmsHXrVn7++WduvvlmrrjiCtcwU2tccMEF/Otf/2Lt2rXs2bOHZcuWcdNNN3HcccfRu3dvTCYTd999N3fddRdvv/02GRkZ/Prrr7zxxhttatdll11GVFQUZ599NitXriQrK4tly5Zxyy23sH///lY/H0AdLguOhpjekDwGep4CCUMgrDsYgtW9txKG1M3gGigzuIQQfkECkB+6+uqrKS4uZtKkSW71OvPmzeP4449n0qRJTJgwgbi4OM4555xm369Wq+Wzzz6jurqaESNGcM0117hNDwc466yzuP3225k1axaDBw9m9erV3HfffW7nnH/++UyePJmTTjqJ6OjoJqfiBwYG8t1331FUVMTw4cO54IILOOWUU3jhhRda9s04zKRJk/jyyy+ZOnWqK8z17t2b77//noAAtcP0vvvu44477uD++++nT58+XHTRReTl5bWpXYGBgaxYsYLu3btz3nnn0adPH66++mqsVmvbe4QOp9OrM7di+0HKWEg8Xr2ulZcDIYT/0CiKIjs2HqasrAyLxUJpaWmjNx+r1UpWVhYpKSmYTDILRniG/B4KIURjR3v/Ppx85BNCCCGE35EAJIQQQgi/IwFICCGEEH5HApAQQggh/I5XBKAXX3yR5ORkTCYTI0eOZN26dUc9f+HChfTq1Quz2UxSUhK33347VqvV9XWHw8F9991HSkoKZrOZtLQ0Hn74YaTeWwghhBDgBQshLlmyhNmzZ/Pyyy8zcuRIFi5cyKRJk9ixYwcxMTGNzn/vvfeYM2cOb775JqNHj+bvv//myiuvRKPR8MwzzwDw+OOP89JLL/Gf//yHfv368dtvvzFz5kwsFgu33HJLu7RbwpTwJPn9E0KItvF4D9AzzzzDtddey8yZM+nbty8vv/wygYGBvPnmm02ev3r1asaMGcOll15KcnIyp512Gpdccolbr9Hq1as5++yzOfPMM0lOTuaCCy7gtNNOO2bPUnPUb61QVeWh3d+FANf2JA33ORNCCNF8Hu0Bqq2tZcOGDcydO9d1TKvVMnHiRNasWdPkbUaPHs3ixYtZt24dI0aMIDMzk//9739cccUVbue8+uqr/P333xx33HFs2rSJX375xdVDdLiamhq31YbLysqO2GadTkdYWJjbwncaWTVXdCKn00l+fj6BgYGuxRmFEEK0jEdfPQsKCnA4HI22CIiNjWX79u1N3ubSSy+loKCAE088EUVRsNvt3HDDDdxzzz2uc+bMmUNZWRm9e/dGp9PhcDh45JFHuOyyy5q8zwULFjB//vxmtzsuLg7AFYKE6GxarZbu3btL+BZCiFbyuY+Py5Yt49FHH+Xf//43I0eOZNeuXdx66608/PDDri0VPvzwQ959913ee+89+vXrx8aNG7nttttISEhgxowZje5z7ty5zJ4923W9rKyMpKSkI7ZBo9EQHx9PTEwMNput/Z+kEMdgMBjQytYVQgjRah4NQFFRUeh0ukYbbubm5rp6WQ533333ccUVV7h24h4wYACVlZVcd9113HvvvWi1Wv7xj38wZ84cLr74Ytc5e/bsYcGCBU0GIKPRiNFobHH7dTqd1GAIIYQQPsijHyENBgNDhw5l6dKlrmNOp5OlS5cyatSoJm9TVVXV6JNvfQipnxlzpHOcTmd7Nl8IIYQQPsrjQ2CzZ89mxowZDBs2jBEjRrBw4UIqKyuZOXMmANOnTycxMZEFCxYAMHXqVJ555hmGDBniGgK77777mDp1qisITZ06lUceeYTu3bvTr18//vjjD5555hmuuuoqjz1PIYQQQngPjwegiy66iPz8fO6//35ycnIYPHgw3377rasweu/evW69OfPmzUOj0TBv3jwOHDhAdHS0K/DUe/7557nvvvu48cYbycvLIyEhgeuvv57777+/05+fEEIIIbyPRpEV1RopLS0lLCyMffv2ERoa6unmCCGEEKIZ6icxlZSUYLFYjnqux3uAvFF5eTnAUWeCCSGEEMI7lZeXHzMASQ9QE5xOJwcPHiQkJKTd11mpT6fSuyS8gfw++g/5WbcP+T7+f3t3HhPF+cYB/DscC7ggp3KIglY5VFxQqYC3pUATwStqjFZRbLUuWhBItI2FYHXZttSqxZi2FqlN1dqKB7QcrYARERBdQSuoGxQrq3iAFQ+O3ff3R+P83IJiC+wi83wSE+add9/5zjusPs7O7HSN7ppHxhgePHgAJyenDr8qhM4AtcPAwADOzs7duo2+ffvSm4f0GPT7KBx0rLsGzWPX6I557OjMz1P0TWqEEEIIERwqgAghhBAiOFQA6ZiJiQni4+P/0zdPE9LV6PdROOhYdw2ax67RE+aRLoImhBBCiODQGSBCCCGECA4VQIQQQggRHCqACCGEECI4VAARQgghRHCoAOoGMpkMvr6+sLCwQP/+/TFz5kxUVVVp9Xny5AmkUilsbW1hbm6OOXPm4NatW3pKTHqz48ePIzQ0FE5OTuA4DocOHWrT5+LFiwgLC4OlpSXEYjF8fX1RU1Oj+7Ck0zo63gkJCfDw8IBYLIa1tTUCAwNRXFysn7A9VEdzePDgQQQFBcHW1hYcx0GhUOgl56vowYMHiIqKgouLC8zMzBAQEIDS0lK9ZKECqBsUFBRAKpXi1KlTyM3NRUtLC4KCgvDw4UO+T3R0NI4ePYoDBw6goKAAtbW1mD17th5Tk97q4cOHkEgkSElJaXe9UqnEhAkT4OHhgfz8fJSXl2PDhg0wNTXVcVLSFTo63m5ubvjyyy9RUVGBEydOwNXVFUFBQbh9+7aOk/ZcHc3hw4cPMWHCBMjlch0ne/UtX74cubm52LNnDyoqKhAUFITAwEDcuHFD92EY6XZ1dXUMACsoKGCMMdbQ0MCMjY3ZgQMH+D4XL15kAFhRUZG+YhIBAMDS09O12ubPn88WLVqkn0CkW7V3vP/p/v37DAD77bffdBPqFfOiOayurmYA2NmzZ3Wa6VX16NEjZmhoyDIyMrTaR48ezT788EOd56EzQDpw//59AICNjQ0AoKysDC0tLQgMDOT7eHh4YNCgQSgqKtJLRiJMGo0GmZmZcHNzQ3BwMPr3749x48a1+zEZ6X2am5vx1VdfwdLSEhKJRN9xSC/X2toKtVrd5uyymZkZTpw4ofM8VAB1M41Gg6ioKIwfPx4jR44EANy8eRMikQhWVlZafe3t7XHz5k09pCRCVVdXh8bGRiQlJSEkJAQ5OTmYNWsWZs+ejYKCAn3HI90kIyMD5ubmMDU1xZYtW5Cbmws7Ozt9xyK9nIWFBfz9/bFx40bU1tZCrVbj+++/R1FREVQqlc7zUAHUzaRSKc6fP499+/bpOwohbWg0GgDAjBkzEB0dDW9vb6xbtw7Tp0/Hzp079ZyOdJepU6dCoVDg5MmTCAkJwbx581BXV6fvWEQA9uzZA8YYBgwYABMTE2zbtg0LFiyAgYHuyxEqgLpRZGQkMjIykJeXB2dnZ77dwcEBzc3NaGho0Op/69YtODg46DglETI7OzsYGRlh+PDhWu2enp50F1gvJhaLMXToUPj5+WHXrl0wMjLCrl279B2LCMBrr72GgoICNDY24vr16ygpKUFLSwuGDBmi8yxUAHUDxhgiIyORnp6OY8eOYfDgwVrrx4wZA2NjY/z+++98W1VVFWpqauDv76/ruETARCIRfH1923xNw6VLl+Di4qKnVETXNBoNmpqa9B2DCIhYLIajoyPq6+uRnZ2NGTNm6DyDkc63KABSqRQ//PADDh8+DAsLC/66HktLS5iZmcHS0hIRERFYu3YtbGxs0LdvX6xevRr+/v7w8/PTc3rS2zQ2NuLKlSv8cnV1NRQKBWxsbDBo0CDExcVh/vz5mDRpEqZOnYqsrCwcPXoU+fn5+gtN/rMXHW9bW1ts2rQJYWFhcHR0xJ07d5CSkoIbN25g7ty5ekzds3T0nrl37x5qampQW1sLAPx/IBwcHOgsfgeys7PBGIO7uzuuXLmCuLg4eHh4YOnSpboPo/P7zgQAQLt/UlNT+T6PHz9mq1atYtbW1qxPnz5s1qxZTKVS6S806bXy8vLa/X1csmQJ32fXrl1s6NChzNTUlEkkEnbo0CH9BSad8qLj/fjxYzZr1izm5OTERCIRc3R0ZGFhYaykpETfsXuUjt4zqamp7a6Pj4/Xa+5Xwf79+9mQIUOYSCRiDg4OTCqVsoaGBr1k4RhjTFfFFiGEEEJIT0DXABFCCCFEcKgAIoQQQojgUAFECCGEEMGhAogQQgghgkMFECGEEEIEhwogQgghhAgOFUCEEEIIERwqgAghOnP16lVwHAeFQqHvKLzKykr4+fnB1NQU3t7e7fZhjOHdd9+FjY1Nj8tPCPlvqAAiREDCw8PBcRySkpK02g8dOgSO4/SUSr/i4+MhFotRVVWl9Xy+Z2VlZWH37t3IyMiASqXCyJEju2Tb4eHhmDlzZpeMRQj5d6gAIkRgTE1NIZfLUV9fr+8oXaa5ufk/v1apVGLChAlwcXGBra3tc/s4OjoiICAADg4OMDLqWY9RVKvV0Gg0+o5ByCuFCiBCBCYwMBAODg6QyWTP7ZOQkNDm46AvvvgCrq6u/PLTsxebN2+Gvb09rKyskJiYiNbWVsTFxcHGxgbOzs5ITU1tM35lZSUCAgJgamqKkSNHoqCgQGv9+fPn8dZbb8Hc3Bz29vZ4++23cefOHX79lClTEBkZiaioKNjZ2SE4OLjd/dBoNEhMTISzszNMTEzg7e2NrKwsfj3HcSgrK0NiYiI4jkNCQkKbMcLDw7F69WrU1NSA4zh+DjQaDWQyGQYPHgwzMzNIJBL89NNP/OvUajUiIiL49e7u7ti6davWHKelpeHw4cPgOA4cxyE/Px/5+fngOA4NDQ18X4VCAY7jcPXqVQDA7t27YWVlhSNHjmD48OEwMTFBTU0NmpqaEBsbiwEDBkAsFmPcuHFaD7W9du0aQkNDYW1tDbFYjBEjRuCXX35pd+4I6e2oACJEYAwNDbF582Zs374df/75Z6fGOnbsGGpra3H8+HF8/vnniI+Px/Tp02FtbY3i4mKsXLkSK1asaLOduLg4xMTE4OzZs/D390doaCju3r0LAGhoaMC0adPg4+OD06dPIysrC7du3cK8efO0xkhLS4NIJEJhYSF27tzZbr6tW7ciOTkZn332GcrLyxEcHIywsDBcvnwZAKBSqTBixAjExMRApVIhNja23TGeFlEqlQqlpaUAAJlMhu+++w47d+7EhQsXEB0djUWLFvHFnEajgbOzMw4cOIA//vgDH330ET744AP8+OOPAIDY2FjMmzcPISEhUKlUUKlUCAgIeOm5f/ToEeRyOb755htcuHAB/fv3R2RkJIqKirBv3z6Ul5dj7ty5CAkJ4fdXKpWiqakJx48fR0VFBeRyOczNzV96m4T0Knp5BCshRC+WLFnCZsyYwRhjzM/Pjy1btowxxlh6ejp79q+D+Ph4JpFItF67ZcsW5uLiojWWi4sLU6vVfJu7uzubOHEiv9za2srEYjHbu3cvY4yx6upqBoAlJSXxfVpaWpizszOTy+WMMcY2btzIgoKCtLZ9/fp1BoBVVVUxxhibPHky8/Hx6XB/nZyc2KZNm7TafH192apVq/hliUTS4VO8/7nvT548YX369GEnT57U6hcREcEWLFjw3HGkUimbM2cOv/zs8Xjq6ZPI6+vr+bazZ88yAKy6upox9v+nkSsUCr7PtWvXmKGhIbtx44bWeG+88QZbv349Y4wxLy8vlpCQ8MJ9JUQoetYH2YQQnZHL5Zg2bVq7Zz1e1ogRI2Bg8P8Tyfb29loXCBsaGsLW1hZ1dXVar/P39+d/NjIywtixY3Hx4kUAwLlz55CXl9fumQmlUgk3NzcAwJgxY16Y7a+//kJtbS3Gjx+v1T5+/HicO3fuJfewfVeuXMGjR4/w5ptvarU3NzfDx8eHX05JScG3336LmpoaPH78GM3Nzc+90+zfEolEGDVqFL9cUVEBtVrNz89TTU1N/LVNa9aswXvvvYecnBwEBgZizpw5WmMQIiRUABEiUJMmTUJwcDDWr1+P8PBwrXUGBgZgjGm1tbS0tBnD2NhYa5njuHbb/s0Fuo2NjQgNDYVcLm+zztHRkf9ZLBa/9JhdrbGxEQCQmZmJAQMGaK0zMTEBAOzbtw+xsbFITk6Gv78/LCws8Omnn6K4uPiFYz8tKJ+d//bm3szMTOvOvcbGRhgaGqKsrAyGhoZafZ8Wk8uXL0dwcDAyMzORk5MDmUyG5ORkrF69+mV3nZBegwogQgQsKSkJ3t7ecHd312rv168fbt68CcYY/49sV373zalTpzBp0iQAQGtrK8rKyhAZGQkAGD16NH7++We4urp26m6rvn37wsnJCYWFhZg8eTLfXlhYiNdff71T+Z+98PjZsZ9VWFiIgIAArFq1im9TKpVafUQiEdRqtVZbv379APx9fZK1tTWAl5t7Hx8fqNVq1NXVYeLEic/tN3DgQKxcuRIrV67E+vXr8fXXX1MBRASJLoImRMC8vLywcOFCbNu2Tat9ypQpuH37Nj755BMolUqkpKTg119/7bLtpqSkID09HZWVlZBKpaivr8eyZcsA/H2h7r1797BgwQKUlpZCqVQiOzsbS5cubVMsdCQuLg5yuRz79+9HVVUV1q1bB4VCgffff79T+S0sLBAbG4vo6GikpaVBqVTizJkz2L59O9LS0gAAw4YNw+nTp5GdnY1Lly5hw4YN/AXUT7m6uqK8vBxVVVW4c+cOWlpaMHToUAwcOBAJCQm4fPkyMjMzkZyc3GEmNzc3LFy4EIsXL8bBgwdRXV2NkpISyGQyZGZmAgCioqKQnZ2N6upqnDlzBnl5efD09OzUXBDyqqICiBCBS0xMbPMRlaenJ3bs2IGUlBRIJBKUlJR06lqhf0pKSkJSUhIkEglOnDiBI0eOwM7ODgD4szZqtRpBQUHw8vJCVFQUrKystK43ehlr1qzB2rVrERMTAy8vL2RlZeHIkSMYNmxYp/dh48aN2LBhA2QyGTw9PRESEoLMzEwMHjwYALBixQrMnj0b8+fPx7hx43D37l2ts0EA8M4778Dd3R1jx45Fv379UFhYCGNjY+zduxeVlZUYNWoU5HI5Pv7445fKlJqaisWLFyMmJgbu7u6YOXMmSktLMWjQIAB/35ovlUr5vG5ubtixY0en54KQVxHH/vlBPyGEEEJIL0dngAghhBAiOFQAEUIIIURwqAAihBBCiOBQAUQIIYQQwaECiBBCCCGCQwUQIYQQQgSHCiBCCCGECA4VQIQQQggRHCqACCGEECI4VAARQgghRHCoACKEEEKI4FABRAghhBDB+R8/eg0eOX0+cQAAAABJRU5ErkJggg==", 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" ] diff --git a/probatus/feature_elimination/feature_elimination.py b/probatus/feature_elimination/feature_elimination.py index 318cc8e2..052190b8 100644 --- a/probatus/feature_elimination/feature_elimination.py +++ b/probatus/feature_elimination/feature_elimination.py @@ -8,12 +8,13 @@ from sklearn.base import clone, is_classifier, is_regressor from sklearn.model_selection import check_cv from sklearn.model_selection._search import BaseSearchCV +from sklearn.metrics import get_scorer +from lightgbm import early_stopping, log_evaluation from probatus.utils import ( BaseFitComputePlotClass, assure_pandas_series, calculate_shap_importance, - get_single_scorer, preprocess_data, preprocess_labels, shap_calc, @@ -144,10 +145,9 @@ def __init__( [cv parameter](https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html). If None, then cv of 5 is used. - scoring (string or probatus.utils.Scorer, optional): + scoring (string or sklearn Scorer, optional): Metric for which the model performance is calculated. It can be either a metric name aligned with predefined [classification scorers names in sklearn](https://scikit-learn.org/stable/modules/model_evaluation.html). - Another option is using probatus.utils.Scorer to define a custom metric. n_jobs (int, optional): Number of cores to run in parallel while fitting across folds. None means 1 unless in a @@ -165,39 +165,29 @@ def __init__( reproducible and in random search at each iteration a different hyperparameters might be tested. For reproducible results set it to an integer. """ # noqa - # TODO: Add a check for models which are not supported. self.model = model - if isinstance(self.model, BaseSearchCV): - self.search_model = True - else: - self.search_model = False - - if (isinstance(step, int) or isinstance(step, float)) and step > 0: - self.step = step - else: - raise ( - ValueError( - f"The current value of step = {step} is not allowed. " - f"It needs to be a positive integer or positive float." - ) - ) - - if isinstance(min_features_to_select, int) and min_features_to_select > 0: - self.min_features_to_select = min_features_to_select - else: - raise ( - ValueError( - f"The current value of min_features_to_select = {min_features_to_select} is not allowed. " - f"It needs to be a greater than or equal to 0." - ) - ) - + self.search_model = isinstance(model, BaseSearchCV) + self.step = self.validate_step(step) + self.min_features_to_select = self.validate_min_features(min_features_to_select) self.cv = cv - self.scorer = get_single_scorer(scoring) - self.random_state = random_state + self.scoring = scoring # (str) name of the metric + self.scorer = get_scorer(scoring) self.n_jobs = n_jobs - self.report_df = pd.DataFrame([]) self.verbose = verbose + self.random_state = random_state + self.report_df = pd.DataFrame() + + @staticmethod + def validate_step(step): + if not isinstance(step, (int, float)) or step <= 0: + raise ValueError(f"Invalid step value: {step}. Must be a positive int or float.") + return step + + @staticmethod + def validate_min_features(min_features): + if not isinstance(min_features, int) or min_features <= 0: + raise ValueError(f"Invalid min_features_to_select value: {min_features}. Must be a positive int.") + return min_features def _get_current_features_to_remove(self, shap_importance_df, columns_to_keep=None): """ @@ -216,7 +206,6 @@ def _get_current_features_to_remove(self, shap_importance_df, columns_to_keep=No (list): List of features to be removed at a given round. """ - # Bounding the variable. num_features_to_remove = 0 @@ -263,7 +252,7 @@ def _calculate_number_of_features_to_remove( Makes sure that after removal at least min_num_features_to_keep are kept - Args: + Args: current_num_of_features (int): Current number of features in the data. @@ -277,13 +266,12 @@ def _calculate_number_of_features_to_remove( (int): Number of features to be removed. """ - num_features_after_removal = current_num_of_features - num_features_to_remove - if num_features_after_removal >= min_num_features_to_keep: - num_to_remove = num_features_to_remove - else: - # take all available features minus number of them that should stay - num_to_remove = current_num_of_features - min_num_features_to_keep - return num_to_remove + # Calculate maximum nr of features that can be removed without dropping below + # `min_num_features_to_keep`. + nr_of_max_allowed_feature_removed = current_num_of_features - min_num_features_to_keep + + # Return smallest between `nr_of_max_allowed_feature_removed` and `num_features_to_remove` + return min(num_features_to_remove, nr_of_max_allowed_feature_removed) def _report_current_results( self, @@ -320,22 +308,22 @@ def _report_current_results( val_metric_std (float or int): Std scoring metric measured on validation set during CV. """ - current_results = { "num_features": len(current_features_set), - "features_set": None, - "eliminated_features": None, + "features_set": [current_features_set], + "eliminated_features": [features_to_remove], "train_metric_mean": train_metric_mean, "train_metric_std": train_metric_std, "val_metric_mean": val_metric_mean, "val_metric_std": val_metric_std, } - current_row = pd.DataFrame(current_results, index=[round_number]) - current_row["features_set"] = [current_features_set] - current_row["eliminated_features"] = [features_to_remove] - - self.report_df = pd.concat([self.report_df, current_row], axis=0) + if self.report_df.empty: + self.report_df = pd.DataFrame(current_results, index=[round_number]) + else: + new_row = pd.DataFrame(current_results, index=[round_number]) + # Append new_row to self.report_df more efficiently + self.report_df = pd.concat([self.report_df, new_row]) def _get_feature_shap_values_per_fold( self, @@ -392,8 +380,8 @@ def _get_feature_shap_values_per_fold( model = model.fit(X_train, y_train) # Score the model - score_train = self.scorer.scorer(model, X_train, y_train) - score_val = self.scorer.scorer(model, X_val, y_val) + score_train = self.scorer(model, X_train, y_train) + score_val = self.scorer(model, X_val, y_val) # Compute SHAP values shap_values = shap_calc(model, X_val, verbose=self.verbose, random_state=self.random_state, **shap_kwargs) @@ -414,13 +402,13 @@ def fit( Fits the object with the provided data. The algorithm starts with the entire dataset, and then sequentially - eliminates features. If sklearn compatible search CV is passed as model e.g. - [GridSearchCV](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html), - [RandomizedSearchCV](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html) - or [BayesSearchCV](https://scikit-optimize.github.io/stable/modules/generated/skopt.BayesSearchCV.html), - the hyperparameter optimization is applied at each step of the elimination. - Then, the SHAP feature importance is calculated using Cross-Validation, - and `step` lowest importance features are removed. + eliminates features. If sklearn compatible search CV is passed as model e.g. + [GridSearchCV](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html), + [RandomizedSearchCV](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html) + or [BayesSearchCV](https://scikit-optimize.github.io/stable/modules/generated/skopt.BayesSearchCV.html), + the hyperparameter optimization is applied at each step of the elimination. + Then, the SHAP feature importance is calculated using Cross-Validation, + and `step` lowest importance features are removed. Args: X (pd.DataFrame): @@ -468,6 +456,7 @@ def fit( Returns: (ShapRFECV): Fitted object. """ + # TODO: Simplify implementation & refactor # Set seed for results reproducibility if self.random_state is not None: np.random.seed(self.random_state) @@ -657,14 +646,14 @@ def fit_compute( Fits the object with the provided data. The algorithm starts with the entire dataset, and then sequentially - eliminates features. If sklearn compatible search CV is passed as model e.g. - [GridSearchCV](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html), - [RandomizedSearchCV](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html) - or [BayesSearchCV](https://scikit-optimize.github.io/stable/modules/generated/skopt.BayesSearchCV.html), - the hyperparameter optimization is applied at each step of the elimination. - Then, the SHAP feature importance is calculated using Cross-Validation, - and `step` lowest importance features are removed. At the end, the - report containing results from each iteration is computed and returned to the user. + eliminates features. If sklearn compatible search CV is passed as model e.g. + [GridSearchCV](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html), + [RandomizedSearchCV](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html) + or [BayesSearchCV](https://scikit-optimize.github.io/stable/modules/generated/skopt.BayesSearchCV.html), + the hyperparameter optimization is applied at each step of the elimination. + Then, the SHAP feature importance is calculated using Cross-Validation, + and `step` lowest importance features are removed. At the end, the + report containing results from each iteration is computed and returned to the user. Args: X (pd.DataFrame): @@ -746,33 +735,30 @@ def get_reduced_features_set(self, num_features, standard_error_threshold=1.0, r """ self._check_if_fitted() + # Determine the best number of features based on the method specified if isinstance(num_features, str): - best_num_features = self._get_best_num_features( + num_features = self._get_best_num_features( best_method=num_features, standard_error_threshold=standard_error_threshold ) - if return_type == "feature_names": - return self._get_feature_names(best_num_features) - elif return_type == "support": - feature_names_selected = self._get_feature_names(best_num_features) - return self._get_feature_support(feature_names_selected) - elif return_type == "ranking": - return self._get_feature_ranking() - - elif isinstance(num_features, int): - if return_type == "feature_names": - return self._get_feature_names(num_features) - elif return_type == "support": - feature_names_selected = self._get_feature_names(num_features) - return self._get_feature_support(feature_names_selected) - elif return_type == "ranking": - return self._get_feature_ranking() - - else: - raise ValueError( + elif not isinstance(num_features, int): + ValueError( "Parameter num_features can be of type int, or of type str with " "possible values of 'best', 'best_coherent' or 'best_parsimonious'" ) + # Get feature names for the determined number of features + feature_names_selected = self._get_feature_names(num_features) + + # Return based on the requested return type + if return_type == "feature_names": + return feature_names_selected + elif return_type == "support": + return self._get_feature_support(feature_names_selected) + elif return_type == "ranking": + return self._get_feature_ranking() + else: + raise ValueError("Invalid return_type. Must be 'feature_names', 'support', or 'ranking'.") + def _get_best_num_features(self, best_method, standard_error_threshold=1.0): """ Helper function to identify the best number of features to select as per some automatic @@ -796,49 +782,36 @@ def _get_best_num_features(self, best_method, standard_error_threshold=1.0): (int) num_features as per automatic feature selection strategy selected. """ - self._check_if_fitted() - shap_report = self.report_df.copy() - if (isinstance(standard_error_threshold, float) or isinstance(standard_error_threshold, int)) is not True: - raise ValueError("Parameter standard_error_threshold must be int or float") - elif standard_error_threshold < 0: - raise ValueError("Parameter standard_error_threshold must be >= zero.") + if not isinstance(standard_error_threshold, (float, int)) or standard_error_threshold < 0: + raise ValueError("Parameter standard_error_threshold must be a non-negative int or float.") + + # Perform copy after ValueError check. + shap_report = self.report_df.copy() if best_method == "best": - shap_report["eval_metric"] = shap_report["val_metric_mean"] - best_iteration_idx = shap_report["eval_metric"].argmax() - best_num_features = shap_report["num_features"].iloc[best_iteration_idx] + # Strictly selects the number of features with the highest model score + best_score_index = shap_report["val_metric_mean"].idxmax() + best_num_features = shap_report.loc[best_score_index, "num_features"] elif best_method == "best_coherent": - shap_report["eval_metric"] = ( - shap_report["val_metric_mean"] - shap_report["val_metric_std"] * standard_error_threshold - ) - best_iteration_idx = shap_report["eval_metric"].argmax() - # Find standard error threshold above which we want to focus - best_val_metric_threshold = shap_report["eval_metric"].iloc[best_iteration_idx] - # Drop iterations with val_metric below threshold - shap_report = shap_report[shap_report["val_metric_mean"] >= best_val_metric_threshold] - # Get iteration with smallest val_metric_std - best_std_iteration_idx = shap_report["val_metric_std"].argmin() - best_num_features = shap_report["num_features"].iloc[best_std_iteration_idx] + # Selects within a threshold but prioritizes lower standard deviation + highest_score = shap_report["val_metric_mean"].max() + within_threshold = shap_report[shap_report["val_metric_mean"] >= highest_score - standard_error_threshold] + lowest_std_index = within_threshold["val_metric_std"].idxmin() + best_num_features = within_threshold.loc[lowest_std_index, "num_features"] elif best_method == "best_parsimonious": - shap_report["eval_metric"] = ( - shap_report["val_metric_mean"] - shap_report["val_metric_std"] * standard_error_threshold - ) - best_iteration_idx = shap_report["eval_metric"].argmax() - # Find standard error threshold above which we want to focus - best_val_metric_threshold = shap_report["eval_metric"].iloc[best_iteration_idx] - # Drop iterations with val_metric below threshold - shap_report = shap_report[shap_report["val_metric_mean"] >= best_val_metric_threshold] - # Get iteration with smallest num_features - best_parsimonious_iteration_idx = shap_report["num_features"].argmin() - best_num_features = shap_report["num_features"].iloc[best_parsimonious_iteration_idx] + # Selects the fewest number of features within the threshold of the highest score + highest_score = shap_report["val_metric_mean"].max() + within_threshold = shap_report[shap_report["val_metric_mean"] >= highest_score - standard_error_threshold] + fewest_features_index = within_threshold["num_features"].idxmin() + best_num_features = within_threshold.loc[fewest_features_index, "num_features"] else: raise ValueError( - "The parameter best_method can take values of 'best', 'best_coherent' or 'best_parsimonious'" + "The parameter 'best_method' must be one of 'best', 'best_coherent', or 'best_parsimonious'." ) # Log shap_report for users who want to inspect / debug @@ -860,16 +833,21 @@ def _get_feature_names(self, num_features): List of the names of the features representing top num_features """ self._check_if_fitted() - if num_features not in self.report_df.num_features.tolist(): - raise ( - ValueError( - f"The provided number of features has not been achieved at any stage of the process. " - f"You can select one of the following: {self.report_df.num_features.tolist()}" - ) + + # Direct lookup for the row with the desired number of features + matching_rows = self.report_df[self.report_df.num_features == num_features] + + if matching_rows.empty: + valid_nums = ", ".join([str(n) for n in sorted(self.report_df.num_features.unique())]) + raise ValueError( + f"The provided number of features has not been achieved at any stage of the process. " + f"You can select one of the following: {valid_nums}" ) - else: - return self.report_df[self.report_df.num_features == num_features]["features_set"].values[0] + # Assuming 'features_set' contains the list of feature names for the row + return matching_rows.iloc[0]["features_set"] + + @staticmethod def _get_feature_support(self, feature_names_selected): """ Helper function that takes feature_names_selected and returns a boolean mask representing the columns @@ -884,6 +862,7 @@ def _get_feature_support(self, feature_names_selected): Boolean mask representing the features selected. """ support = [True if col in feature_names_selected else False for col in self.column_names] + return support def _get_feature_ranking(self): @@ -895,7 +874,6 @@ def _get_feature_ranking(self): (list of bools) Boolean mask representing the features selected. """ - flipped_report_df = self.report_df.iloc[::-1] # Some features are not eliminated. All have importance of zero (highest importance) @@ -959,7 +937,7 @@ def plot(self, show=True, **figure_kwargs): ) plt.xlabel("Number of features") - plt.ylabel(f"Performance {self.scorer.metric_name}") + plt.ylabel(f"Performance {self.scoring}") plt.title("Backwards Feature Elimination using SHAP & CV") plt.legend(loc="lower left") fig.axes[0].invert_xaxis() @@ -1129,7 +1107,7 @@ def __init__( Metric for scoring fitting rounds and activating early stopping. This is passed to the fit method of the model for Shapley values estimation, but not for hyperparameter search. Only supported by some models, such as [XGBoost](https://xgboost.readthedocs.io/en/latest/parameter.html#learning-task-parameters) - and [LightGBM](https://lightgbm.readthedocs.io/en/latest/Parameters.html#metric-parameters). + and [LightGBM](https://lightgbm.readthedocs.io/en/latest/Parameters.html#metric-parameters). Note that `eval_metric` is an argument of the model's fit method and it is different from `scoring`. """ # noqa super().__init__( @@ -1143,25 +1121,21 @@ def __init__( random_state=random_state, ) - if self.search_model: - if self.verbose > 0: - warnings.warn( - "Early stopping will be used only during Shapley value" - " estimation step, and not for hyperparameter" - " optimization." - ) + if self.search_model and self.verbose > 0: + warnings.warn( + "Early stopping will be used only during Shapley value" + " estimation step, and not for hyperparameter" + " optimization." + ) - if isinstance(early_stopping_rounds, int) and early_stopping_rounds > 0: - self.early_stopping_rounds = early_stopping_rounds - else: - raise ( - ValueError( - f"The current value of early_stopping_rounds =" - f" {early_stopping_rounds} is not allowed." - f" It needs to be a positive integer." - ) + if not isinstance(early_stopping_rounds, int) or early_stopping_rounds <= 0: + raise ValueError( + f"The current value of early_stopping_rounds =" + f" {early_stopping_rounds} is not allowed." + f" It needs to be a positive integer." ) + self.early_stopping_rounds = early_stopping_rounds self.eval_metric = eval_metric def _get_fit_params_lightGBM( @@ -1202,22 +1176,20 @@ def _get_fit_params_lightGBM( Returns: dict: fit parameters """ - from lightgbm import early_stopping, log_evaluation - fit_params = { "X": X_train, "y": y_train, "eval_set": [(X_val, y_val)], - "callbacks": [early_stopping(self.early_stopping_rounds, first_metric_only=True)], + "callbacks": [ + early_stopping(self.early_stopping_rounds, first_metric_only=True), + log_evaluation(1 if self.verbose >= 2 else 0), + ], } - if self.verbose >= 2: - fit_params["callbacks"].append(log_evaluation(1)) - else: - fit_params["callbacks"].append(log_evaluation(0)) if sample_weight is not None: fit_params["sample_weight"] = sample_weight.iloc[train_index] fit_params["eval_sample_weight"] = [sample_weight.iloc[val_index]] + return fit_params def _get_fit_params_XGBoost( @@ -1266,6 +1238,7 @@ def _get_fit_params_XGBoost( if sample_weight is not None: fit_params["sample_weight"] = sample_weight.iloc[train_index] fit_params["eval_sample_weight"] = [sample_weight.iloc[val_index]] + return fit_params def _get_fit_params_CatBoost( @@ -1317,6 +1290,7 @@ def _get_fit_params_CatBoost( if sample_weight is not None: fit_params["X"].set_weight(sample_weight.iloc[train_index]) fit_params["eval_set"].set_weight(sample_weight.iloc[val_index]) + return fit_params def _get_fit_params( @@ -1502,8 +1476,8 @@ def _get_feature_shap_values_per_fold( model = model.fit(**fit_params) # Score the model - score_train = self.scorer.scorer(model, X_train, y_train) - score_val = self.scorer.scorer(model, X_val, y_val) + score_train = self.scorer(model, X_train, y_train) + score_val = self.scorer(model, X_val, y_val) # Compute SHAP values shap_values = shap_calc(model, X_val, verbose=self.verbose, random_state=self.random_state, **shap_kwargs) diff --git a/probatus/interpret/model_interpret.py b/probatus/interpret/model_interpret.py index ace8256f..1f8be934 100644 --- a/probatus/interpret/model_interpret.py +++ b/probatus/interpret/model_interpret.py @@ -1,6 +1,7 @@ import matplotlib.pyplot as plt import numpy as np import pandas as pd +from sklearn.metrics import get_scorer from shap import summary_plot from shap.plots._waterfall import waterfall_legacy @@ -9,7 +10,6 @@ BaseFitComputePlotClass, assure_list_of_strings, calculate_shap_importance, - get_single_scorer, preprocess_data, preprocess_labels, shap_calc, @@ -86,7 +86,8 @@ def __init__(self, model, scoring="roc_auc", verbose=0, random_state=None): reproducible results set it to an integer. """ self.model = model - self.scorer = get_single_scorer(scoring) + self.scoring = scoring # (str) name of the metric + self.scorer = get_scorer(scoring) self.verbose = verbose self.random_state = random_state @@ -144,12 +145,12 @@ def fit( self.class_names = ["Negative Class", "Positive Class"] # Calculate Metrics - self.train_score = self.scorer.score(self.model, self.X_train, self.y_train) - self.test_score = self.scorer.score(self.model, self.X_test, self.y_test) + self.train_score = self.scorer(self.model, self.X_train, self.y_train) + self.test_score = self.scorer(self.model, self.X_test, self.y_test) self.results_text = ( - f"Train {self.scorer.metric_name}: {np.round(self.train_score, 3)},\n" - f"Test {self.scorer.metric_name}: {np.round(self.test_score, 3)}." + f"Train {self.scoring}: {np.round(self.train_score, 3)},\n" + f"Test {self.scoring}: {np.round(self.test_score, 3)}." ) ( diff --git a/probatus/sample_similarity/resemblance_model.py b/probatus/sample_similarity/resemblance_model.py index ebeda0ae..e8d81262 100644 --- a/probatus/sample_similarity/resemblance_model.py +++ b/probatus/sample_similarity/resemblance_model.py @@ -7,8 +7,9 @@ from shap import summary_plot from sklearn.inspection import permutation_importance from sklearn.model_selection import train_test_split +from sklearn.metrics import get_scorer -from probatus.utils import BaseFitComputePlotClass, get_single_scorer, preprocess_data, preprocess_labels +from probatus.utils import BaseFitComputePlotClass, preprocess_data, preprocess_labels from probatus.utils.shap_helpers import calculate_shap_importance, shap_calc @@ -70,7 +71,8 @@ class is 'roc_auc'. self.n_jobs = n_jobs self.random_state = random_state self.verbose = verbose - self.scorer = get_single_scorer(scoring) + self.scoring = scoring # (str) name of the metric + self.scorer = get_scorer(scoring) def _init_output_variables(self): """ @@ -151,12 +153,12 @@ def fit(self, X1, X2, column_names=None, class_names=None): ) self.model.fit(self.X_train, self.y_train) - self.train_score = np.round(self.scorer.score(self.model, self.X_train, self.y_train), 3) - self.test_score = np.round(self.scorer.score(self.model, self.X_test, self.y_test), 3) + self.train_score = np.round(self.scorer(self.model, self.X_train, self.y_train), 3) + self.test_score = np.round(self.scorer(self.model, self.X_test, self.y_test), 3) self.results_text = ( - f"Train {self.scorer.metric_name}: {np.round(self.train_score, 3)},\n" - f"Test {self.scorer.metric_name}: {np.round(self.test_score, 3)}." + f"Train {self.scoring}: {np.round(self.train_score, 3)},\n" + f"Test {self.scoring}: {np.round(self.test_score, 3)}." ) if self.verbose > 1: logger.info(f"Finished model training: \n{self.results_text}") @@ -164,7 +166,7 @@ def fit(self, X1, X2, column_names=None, class_names=None): if self.verbose > 0: if self.train_score > self.test_score: warnings.warn( - f"Train {self.scorer.metric_name} > Test {self.scorer.metric_name}, which might indicate " + f"Train {self.scoring} > Test {self.scoring}, which might indicate " f"an overfit. \n Strong overfit might lead to misleading conclusions when analysing " f"feature importance. Consider retraining with more regularization applied to the model." ) @@ -384,7 +386,7 @@ def fit(self, X1, X2, column_names=None, class_names=None): self.model, self.X_test, self.y_test, - scoring=self.scorer.scorer, + scoring=self.scorer, n_repeats=self.iterations, n_jobs=self.n_jobs, ) diff --git a/probatus/utils/__init__.py b/probatus/utils/__init__.py index c1f2994c..24a3aa28 100644 --- a/probatus/utils/__init__.py +++ b/probatus/utils/__init__.py @@ -1,5 +1,4 @@ -from .exceptions import NotFittedError, UnsupportedModelError -from .scoring import Scorer, get_scorers, get_single_scorer +from .exceptions import NotFittedError from .arrayfuncs import ( assure_pandas_df, assure_pandas_series, @@ -12,10 +11,7 @@ __all__ = [ "NotFittedError", - "UnsupportedModelError", - "Scorer", "assure_pandas_df", - "get_scorers", "assure_list_of_strings", "shap_calc", "shap_to_df", @@ -25,5 +21,4 @@ "preprocess_labels", "BaseFitComputeClass", "BaseFitComputePlotClass", - "get_single_scorer", ] diff --git a/probatus/utils/arrayfuncs.py b/probatus/utils/arrayfuncs.py index 3b319869..71dd3ad3 100644 --- a/probatus/utils/arrayfuncs.py +++ b/probatus/utils/arrayfuncs.py @@ -15,21 +15,15 @@ def assure_pandas_df(x, column_names=None): pandas DataFrame """ if isinstance(x, pd.DataFrame): - # Check if column_names are passed correctly if column_names is not None: x.columns = column_names - return x - elif any( - [ - isinstance(x, np.ndarray), - isinstance(x, pd.core.series.Series), - isinstance(x, list), - ] - ): - return pd.DataFrame(x, columns=column_names) + elif isinstance(x, (np.ndarray, pd.Series, list)): + x = pd.DataFrame(x, columns=column_names) else: raise TypeError("Please supply a list, numpy array, pandas Series or pandas DataFrame") + return x + def assure_pandas_series(x, index=None): """ @@ -42,7 +36,7 @@ def assure_pandas_series(x, index=None): pandas Series """ if isinstance(x, pd.Series): - if isinstance(index, list) or isinstance(index, np.ndarray): + if isinstance(index, (list, np.ndarray)): index = pd.Index(index) current_x_index = pd.Index(x.index.values) if current_x_index.equals(index): @@ -55,7 +49,7 @@ def assure_pandas_series(x, index=None): # If indexes have different values, overwrite x.index = index return x - elif any([isinstance(x, np.ndarray), isinstance(x, list)]): + elif any([isinstance(x, (np.ndarray, list))]): return pd.Series(x, index=index) else: raise TypeError("Please supply a list, numpy array, pandas Series") @@ -92,40 +86,36 @@ def preprocess_data(X, X_name=None, column_names=None, verbose=0): (pd.DataFrame): Preprocessed dataset. """ - if X_name is None: - X_name = "X" + X_name = "X" if X_name is None else X_name # Make sure that X is a pd.DataFrame with correct column names X = assure_pandas_df(X, column_names=column_names) - # Warn if missing - columns_with_missing = [column for column in X.columns if X[column].isnull().values.any()] - if len(columns_with_missing) > 0: - if verbose > 0: + if verbose > 0: + # Warn if missing + columns_with_missing = X.columns[X.isnull().any()].tolist() + if columns_with_missing: warnings.warn( f"The following variables in {X_name} contains missing values {columns_with_missing}. " f"Make sure to impute missing or apply a model that handles them automatically." ) - # Warn if categorical features and change to category - indices_categorical_features = [ - column[0] for column in enumerate(X.dtypes) if column[1].name in ["category", "object"] - ] - categorical_features = list(X.columns[indices_categorical_features]) - - # Set categorical features type to category - if len(categorical_features) > 0: - if verbose > 0: - warnings.warn( - f"The following variables in {X_name} contains categorical variables: " - f"{categorical_features}. Make sure to use a model that handles them automatically or " - f"encode them into numerical variables." - ) + # Warn if categorical features and change to category + categorical_features = X.select_dtypes(include=["category", "object"]).columns.tolist() + # Set categorical features type to category + if categorical_features: + if verbose > 0: + warnings.warn( + f"The following variables in {X_name} contains categorical variables: " + f"{categorical_features}. Make sure to use a model that handles them automatically or " + f"encode them into numerical variables." + ) + + # Ensure category dtype, to enable models e.g. LighGBM, handle them automatically + object_columns = X.select_dtypes(include=["object"]).columns + if not object_columns.empty: + X[object_columns] = X[object_columns].astype("category") - # Ensure category dtype, to enable models e.g. LighGBM, handle them automatically - for categorical_feature in categorical_features: - if X[categorical_feature].dtype.name == "object": - X[categorical_feature] = X[categorical_feature].astype("category") return X, X.columns.tolist() @@ -157,8 +147,7 @@ def preprocess_labels(y, y_name=None, index=None, verbose=0): (pd.Series): Labels in the form of pd.Series. """ - if y_name is None: - y_name = "y" + y_name = "y" if y_name is None else y_name # Make sure that y is a series with correct index y = assure_pandas_series(y, index=index) diff --git a/probatus/utils/exceptions.py b/probatus/utils/exceptions.py index 484e2543..b6ecc737 100644 --- a/probatus/utils/exceptions.py +++ b/probatus/utils/exceptions.py @@ -8,16 +8,3 @@ def __init__(self, message): Init error. """ self.message = message - - -class UnsupportedModelError(Exception): - """ - Error. - """ - - def __init__(self, message): - # TODO: Add this check for unsupported models to our implementations. - """ - Init error. - """ - self.message = message diff --git a/probatus/utils/scoring.py b/probatus/utils/scoring.py deleted file mode 100644 index 23bbbee1..00000000 --- a/probatus/utils/scoring.py +++ /dev/null @@ -1,127 +0,0 @@ -from sklearn.metrics import get_scorer - - -def get_scorers(scoring): - """ - Returns Scorers list based on the provided scoring. - - Args: - scoring (string, list of strings, probatus.utils.Scorer or list of probatus.utils.Scorers): - Metrics for which the score is calculated. It can be either a name or list of names metric names and - needs to be aligned with predefined classification scorers names in sklearn - ([link](https://scikit-learn.org/stable/modules/model_evaluation.html)). - Another option is using probatus.utils.Scorer to define a custom metric. - - Returns: - (list of probatus.utils.Scorer): - List of scorers that can be used for scoring models - """ - scorers = [] - if isinstance(scoring, list): - for scorer in scoring: - scorers.append(get_single_scorer(scorer)) - else: - scorers.append(get_single_scorer(scoring)) - return scorers - - -def get_single_scorer(scoring): - """ - Returns single Scorer, based on provided input in scoring argument. - - Args: - scoring (string or probatus.utils.Scorer, optional): - Metric for which the model performance is calculated. It can be either a metric name aligned with - predefined classification scorers names in sklearn - ([link](https://scikit-learn.org/stable/modules/model_evaluation.html)). - Another option is using probatus.utils.Scorer to define a custom metric. - - Returns: - (probatus.utils.Scorer): - Scorer that can be used for scoring models - """ - if isinstance(scoring, str): - return Scorer(scoring) - elif isinstance(scoring, Scorer): - return scoring - else: - raise (ValueError("The scoring should contain either strings or probatus.utils.Scorer class")) - - -class Scorer: - """ - Scores a given machine learning model based on the provided metric name and optionally a custom scoring function. - - Examples: - - ```python - from probatus.utils import Scorer - from sklearn.metrics import make_scorer - from sklearn.datasets import make_classification - from sklearn.model_selection import train_test_split - from sklearn.ensemble import RandomForestClassifier - import pandas as pd - - # Make ROC AUC scorer - scorer1 = Scorer('roc_auc') - - # Make custom scorer with following function: - def custom_metric(y_true, y_pred): - return (y_true == y_pred).sum() - scorer2 = Scorer('custom_metric', custom_scorer=make_scorer(custom_metric)) - - # Prepare two samples - feature_names = ['f1', 'f2', 'f3', 'f4'] - X, y = make_classification(n_samples=1000, n_features=4, random_state=0) - X = pd.DataFrame(X, columns=feature_names) - X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) - - # Prepare and fit model. Remember about class_weight="balanced" or an equivalent. - model = RandomForestClassifier(class_weight='balanced', n_estimators = 100, max_depth=2, random_state=0) - model = model.fit(X_train, y_train) - - # Score model - score_test_scorer1 = scorer1.score(model, X_test, y_test) - score_test_scorer2 = scorer2.score(model, X_test, y_test) - - print(f'Test ROC AUC is {score_test_scorer1}, Test {scorer2.metric_name} is {score_test_scorer2}') - ``` - """ - - def __init__(self, metric_name, custom_scorer=None): - """ - Initializes the class. - - Args: - metric_name (str): Name of the metric used to evaluate the model. - If the custom_scorer is not passed, the - metric name needs to be aligned with classification scorers names in sklearn - ([link](https://scikit-learn.org/stable/modules/model_evaluation.html)). - custom_scorer (sklearn.metrics Scorer callable, optional): Callable - that can score samples. - """ - self.metric_name = metric_name - if custom_scorer is not None: - self.scorer = custom_scorer - else: - self.scorer = get_scorer(self.metric_name) - - def score(self, model, X, y): - """ - Scores the samples model based on the provided metric name. - - Args: - model (model object): - Model to be scored. - - X (array-like of shape (n_samples,n_features)): - Samples on which the model is scored. - - y (array-like of shape (n_samples,)): - Labels on which the model is scored. - - Returns: - (float): - Score returned by the model - """ - return self.scorer(model, X, y) diff --git a/probatus/utils/shap_helpers.py b/probatus/utils/shap_helpers.py index 70f3f26a..5e64d6b4 100644 --- a/probatus/utils/shap_helpers.py +++ b/probatus/utils/shap_helpers.py @@ -57,17 +57,15 @@ def shap_calc( """ if isinstance(model, Pipeline): - raise ( - TypeError( - "The provided model is a Pipeline. Unfortunately, the features based on SHAP do not support " - "pipelines, because they cannot be used in combination with shap.Explainer. Please apply any " - "data transformations before running the probatus module." - ) + raise TypeError( + "The provided model is a Pipeline. Unfortunately, the features based on SHAP do not support " + "pipelines, because they cannot be used in combination with shap.Explainer. Please apply any " + "data transformations before running the probatus module." ) + # Suppress warnings regarding XGboost and Lightgbm models. with warnings.catch_warnings(): - if verbose <= 1: - warnings.simplefilter("ignore") + warnings.simplefilter("ignore" if verbose <= 1 else "default") # For tree explainers, do not pass masker when feature_perturbation is # tree_path_dependent, or when X contains categorical features @@ -130,18 +128,15 @@ def shap_to_df(model, X, precalc_shap=None, **kwargs): (pd.DataFrame): Dataframe with SHAP feature importance per features on X dataset. """ - if precalc_shap is not None: - shap_values = precalc_shap - else: - shap_values = shap_calc(model, X, **kwargs) - if isinstance(X, pd.DataFrame): - return pd.DataFrame(shap_values, columns=X.columns, index=X.index) - - elif isinstance(X, np.ndarray) and len(X.shape) == 2: - return pd.DataFrame(shap_values, columns=[f"col_{ix}" for ix in range(X.shape[1])]) + shap_values = precalc_shap if precalc_shap is not None else shap_calc(model, X, **kwargs) - else: - raise NotImplementedError("X must be a dataframe or a 2d array") + try: + return pd.DataFrame(shap_values, columns=X.columns, index=X.index) + except AttributeError: + if isinstance(X, np.ndarray) and len(X.shape) == 2: + return pd.DataFrame(shap_values, columns=[f"col_{ix}" for ix in range(X.shape[1])]) + else: + raise TypeError("X must be a dataframe or a 2d array") def calculate_shap_importance(shap_values, columns, output_columns_suffix="", shap_variance_penalty_factor=None): @@ -169,52 +164,36 @@ def calculate_shap_importance(shap_values, columns, output_columns_suffix="", sh Mean absolute shap values and Mean shap values of features. """ - if shap_variance_penalty_factor is None: - _shap_variance_penalty_factor = 0 - elif ( - isinstance(shap_variance_penalty_factor, float) or isinstance(shap_variance_penalty_factor, int) - ) and shap_variance_penalty_factor >= 0: - _shap_variance_penalty_factor = shap_variance_penalty_factor - else: + if shap_variance_penalty_factor is None or shap_variance_penalty_factor < 0: + shap_variance_penalty_factor = 0 + elif not isinstance(shap_variance_penalty_factor, (float, int)): warnings.warn( - "shap_variance_penalty_factor must be None, int or float. " "Setting shap_variance_penalty_factor = 0" + "shap_variance_penalty_factor must be None, int, or float. Setting shap_variance_penalty_factor = 0" ) - _shap_variance_penalty_factor = 0 + shap_variance_penalty_factor = 0 + abs_shap_values = np.abs(shap_values) if np.ndim(shap_values) > 2: # multi-class case - shap_abs_mean = np.mean(np.sum(np.abs(shap_values), axis=0), axis=0) - shap_mean = np.mean(np.sum(shap_values, axis=0), axis=0) - penalized_shap_abs_mean = np.mean(np.sum(np.abs(shap_values), axis=0), axis=0) - ( - np.std(np.sum(np.abs(shap_values), axis=0), axis=0) * _shap_variance_penalty_factor - ) + sum_abs_shap = np.sum(abs_shap_values, axis=0) + sum_shap = np.sum(shap_values, axis=0) + shap_abs_mean = np.mean(sum_abs_shap, axis=0) + shap_mean = np.mean(sum_shap, axis=0) + penalized_shap_abs_mean = shap_abs_mean - (np.std(sum_abs_shap, axis=0) * shap_variance_penalty_factor) else: # Find average shap importance for neg and pos class - shap_abs_mean = np.mean(np.abs(shap_values), axis=0) + shap_abs_mean = np.mean(abs_shap_values, axis=0) shap_mean = np.mean(shap_values, axis=0) - penalized_shap_abs_mean = np.mean(np.abs(shap_values), axis=0) - ( - np.std(np.abs(shap_values), axis=0) * _shap_variance_penalty_factor - ) + penalized_shap_abs_mean = shap_abs_mean - (np.std(abs_shap_values, axis=0) * shap_variance_penalty_factor) - # Prepare importance values in a handy df + # Prepare the values in a df and set the correct column types importance_df = pd.DataFrame( { - f"mean_abs_shap_value{output_columns_suffix}": shap_abs_mean.tolist(), - f"mean_shap_value{output_columns_suffix}": shap_mean.tolist(), - f"penalized_mean_abs_shap_value{output_columns_suffix}": penalized_shap_abs_mean.tolist(), + f"mean_abs_shap_value{output_columns_suffix}": shap_abs_mean, + f"mean_shap_value{output_columns_suffix}": shap_mean, + f"penalized_mean_abs_shap_value{output_columns_suffix}": penalized_shap_abs_mean, }, index=columns, - ) - - # Set the correct column types - importance_df[f"mean_abs_shap_value{output_columns_suffix}"] = importance_df[ - f"mean_abs_shap_value{output_columns_suffix}" - ].astype(float) - importance_df[f"mean_shap_value{output_columns_suffix}"] = importance_df[ - f"mean_shap_value{output_columns_suffix}" - ].astype(float) - importance_df[f"penalized_mean_abs_shap_value{output_columns_suffix}"] = importance_df[ - f"penalized_mean_abs_shap_value{output_columns_suffix}" - ].astype(float) + ).astype(float) importance_df = importance_df.sort_values(f"penalized_mean_abs_shap_value{output_columns_suffix}", ascending=False) diff --git a/tests/docs/test_docstring.py b/tests/docs/test_docstring.py index 70e98ff9..d7770887 100644 --- a/tests/docs/test_docstring.py +++ b/tests/docs/test_docstring.py @@ -21,7 +21,6 @@ probatus.interpret.DependencePlotter, probatus.sample_similarity.SHAPImportanceResemblance, probatus.sample_similarity.PermutationImportanceResemblance, - probatus.utils.Scorer, ] CLASSES_TO_TEST_LGBM = [ From 8a10661df5e3efa854a1d273a2b27ef0fc8da782 Mon Sep 17 00:00:00 2001 From: Reinier Koops Date: Fri, 22 Mar 2024 18:18:55 +0100 Subject: [PATCH 2/3] revert some changes --- docs/tutorials/nb_custom_scoring.ipynb | 172 ++++++++++++++++++ .../feature_elimination.py | 20 +- probatus/interpret/model_interpret.py | 13 +- .../sample_similarity/resemblance_model.py | 18 +- probatus/utils/__init__.py | 13 +- probatus/utils/scoring.py | 103 +++++++++++ tests/docs/test_docstring.py | 1 + 7 files changed, 308 insertions(+), 32 deletions(-) create mode 100644 docs/tutorials/nb_custom_scoring.ipynb create mode 100644 probatus/utils/scoring.py diff --git a/docs/tutorials/nb_custom_scoring.ipynb b/docs/tutorials/nb_custom_scoring.ipynb new file mode 100644 index 00000000..a60a85af --- /dev/null +++ b/docs/tutorials/nb_custom_scoring.ipynb @@ -0,0 +1,172 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Custom Scoring Metrics\n", + "\n", + "[![open in colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ing-bank/probatus/blob/master/docs/tutorials/nb_custom_scoring.ipynb)\n", + "\n", + "In many features of probatus, the user can provide the `scoring` parameter. The parameter can be one of the following:\n", + "\n", + "- String indicating the scoring metric, one of the [classification scorers names in sklearn](https://scikit-learn.org/stable/modules/model_evaluation.html).\n", + "- Object of a class Scorer from probatus.utils.Scorer. This object encapsulates the scoring metric name and the scorer used to calculate the model performance.\n", + "\n", + "The following tutorial will present how the `scoring` parameter can be used on the example of a Resemblance Model.\n", + "\n", + "## Setup\n", + "\n", + "Let's prepare some data:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%capture\n", + "!pip install probatus" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "from sklearn.datasets import make_classification\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.metrics import make_scorer\n", + "\n", + "from probatus.sample_similarity import SHAPImportanceResemblance\n", + "from probatus.utils import Scorer\n", + "\n", + "# Prepare two samples\n", + "feature_names = [\"f1\", \"f2\", \"f3\", \"f4\"]\n", + "X1 = pd.DataFrame(make_classification(n_samples=1000, n_features=4, random_state=0)[0], columns=feature_names)\n", + "X2 = pd.DataFrame(\n", + " make_classification(n_samples=1000, n_features=4, shift=0.5, random_state=0)[0], columns=feature_names\n", + ")\n", + "\n", + "# Prepare model\n", + "model = RandomForestClassifier(n_estimators=100, max_depth=2, random_state=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Standard metrics\n", + "\n", + "Now, we can set the `scoring` parameter as a string:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train Accuracy: 0.708,\n", + "Test Accuracy: 0.714.\n" + ] + } + ], + "source": [ + "rm = SHAPImportanceResemblance(model, scoring=\"accuracy\")\n", + "feature_importance, train_score, test_score = rm.fit_compute(X1, X2, column_names=feature_names, return_scores=True)\n", + "\n", + "print(f\"Train Accuracy: {np.round(train_score, 3)},\\n\" f\"Test Accuracy: {np.round(test_score, 3)}.\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Custom metric" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's make a custom function (in this case accuracy as well), that we want to use for scoring and use it within ShapImportanceResemblance" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train custom_metric: 0.725,\n", + "Test custom_metric: 0.72.\n" + ] + } + ], + "source": [ + "def custom_metric(y_true, y_pred):\n", + " return np.sum(y_true == y_pred) / len(y_true)\n", + "\n", + "\n", + "scorer = Scorer(\"custom_metric\", custom_scorer=make_scorer(custom_metric))\n", + "\n", + "rm2 = SHAPImportanceResemblance(model, scoring=scorer)\n", + "feature_importance2, train_score2, test_score2 = rm2.fit_compute(X1, X2, column_names=feature_names, return_scores=True)\n", + "\n", + "print(f\"Train custom_metric: {np.round(train_score2, 3)},\\n\" f\"Test custom_metric: {np.round(test_score2, 3)}.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "figure = rm2.plot()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.13" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/probatus/feature_elimination/feature_elimination.py b/probatus/feature_elimination/feature_elimination.py index 052190b8..6bb51431 100644 --- a/probatus/feature_elimination/feature_elimination.py +++ b/probatus/feature_elimination/feature_elimination.py @@ -8,8 +8,6 @@ from sklearn.base import clone, is_classifier, is_regressor from sklearn.model_selection import check_cv from sklearn.model_selection._search import BaseSearchCV -from sklearn.metrics import get_scorer -from lightgbm import early_stopping, log_evaluation from probatus.utils import ( BaseFitComputePlotClass, @@ -17,6 +15,7 @@ calculate_shap_importance, preprocess_data, preprocess_labels, + get_single_scorer, shap_calc, ) @@ -145,7 +144,7 @@ def __init__( [cv parameter](https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html). If None, then cv of 5 is used. - scoring (string or sklearn Scorer, optional): + scoring (string or probatus.utils.Scorer, optional): Metric for which the model performance is calculated. It can be either a metric name aligned with predefined [classification scorers names in sklearn](https://scikit-learn.org/stable/modules/model_evaluation.html). @@ -170,8 +169,7 @@ def __init__( self.step = self.validate_step(step) self.min_features_to_select = self.validate_min_features(min_features_to_select) self.cv = cv - self.scoring = scoring # (str) name of the metric - self.scorer = get_scorer(scoring) + self.scorer = get_single_scorer(scoring) self.n_jobs = n_jobs self.verbose = verbose self.random_state = random_state @@ -380,8 +378,8 @@ def _get_feature_shap_values_per_fold( model = model.fit(X_train, y_train) # Score the model - score_train = self.scorer(model, X_train, y_train) - score_val = self.scorer(model, X_val, y_val) + score_train = self.scorer.score(model, X_train, y_train) + score_val = self.scorer.score(model, X_val, y_val) # Compute SHAP values shap_values = shap_calc(model, X_val, verbose=self.verbose, random_state=self.random_state, **shap_kwargs) @@ -937,7 +935,7 @@ def plot(self, show=True, **figure_kwargs): ) plt.xlabel("Number of features") - plt.ylabel(f"Performance {self.scoring}") + plt.ylabel(f"Performance {self.scorer.metric_name}") plt.title("Backwards Feature Elimination using SHAP & CV") plt.legend(loc="lower left") fig.axes[0].invert_xaxis() @@ -1176,6 +1174,8 @@ def _get_fit_params_lightGBM( Returns: dict: fit parameters """ + from lightgbm import early_stopping, log_evaluation + fit_params = { "X": X_train, "y": y_train, @@ -1476,8 +1476,8 @@ def _get_feature_shap_values_per_fold( model = model.fit(**fit_params) # Score the model - score_train = self.scorer(model, X_train, y_train) - score_val = self.scorer(model, X_val, y_val) + score_train = self.scorer.score(model, X_train, y_train) + score_val = self.scorer.score(model, X_val, y_val) # Compute SHAP values shap_values = shap_calc(model, X_val, verbose=self.verbose, random_state=self.random_state, **shap_kwargs) diff --git a/probatus/interpret/model_interpret.py b/probatus/interpret/model_interpret.py index 1f8be934..d8727216 100644 --- a/probatus/interpret/model_interpret.py +++ b/probatus/interpret/model_interpret.py @@ -1,7 +1,6 @@ import matplotlib.pyplot as plt import numpy as np import pandas as pd -from sklearn.metrics import get_scorer from shap import summary_plot from shap.plots._waterfall import waterfall_legacy @@ -12,6 +11,7 @@ calculate_shap_importance, preprocess_data, preprocess_labels, + get_single_scorer, shap_calc, ) @@ -86,8 +86,7 @@ def __init__(self, model, scoring="roc_auc", verbose=0, random_state=None): reproducible results set it to an integer. """ self.model = model - self.scoring = scoring # (str) name of the metric - self.scorer = get_scorer(scoring) + self.scorer = get_single_scorer(scoring) self.verbose = verbose self.random_state = random_state @@ -145,12 +144,12 @@ def fit( self.class_names = ["Negative Class", "Positive Class"] # Calculate Metrics - self.train_score = self.scorer(self.model, self.X_train, self.y_train) - self.test_score = self.scorer(self.model, self.X_test, self.y_test) + self.train_score = self.scorer.score(self.model, self.X_train, self.y_train) + self.test_score = self.scorer.score(self.model, self.X_test, self.y_test) self.results_text = ( - f"Train {self.scoring}: {np.round(self.train_score, 3)},\n" - f"Test {self.scoring}: {np.round(self.test_score, 3)}." + f"Train {self.scorer.metric_name}: {np.round(self.train_score, 3)},\n" + f"Test {self.scorer.metric_name}: {np.round(self.test_score, 3)}." ) ( diff --git a/probatus/sample_similarity/resemblance_model.py b/probatus/sample_similarity/resemblance_model.py index e8d81262..3e57475c 100644 --- a/probatus/sample_similarity/resemblance_model.py +++ b/probatus/sample_similarity/resemblance_model.py @@ -7,9 +7,8 @@ from shap import summary_plot from sklearn.inspection import permutation_importance from sklearn.model_selection import train_test_split -from sklearn.metrics import get_scorer -from probatus.utils import BaseFitComputePlotClass, preprocess_data, preprocess_labels +from probatus.utils import BaseFitComputePlotClass, preprocess_data, preprocess_labels, get_single_scorer from probatus.utils.shap_helpers import calculate_shap_importance, shap_calc @@ -71,8 +70,7 @@ class is 'roc_auc'. self.n_jobs = n_jobs self.random_state = random_state self.verbose = verbose - self.scoring = scoring # (str) name of the metric - self.scorer = get_scorer(scoring) + self.scorer = get_single_scorer(scoring) def _init_output_variables(self): """ @@ -153,12 +151,12 @@ def fit(self, X1, X2, column_names=None, class_names=None): ) self.model.fit(self.X_train, self.y_train) - self.train_score = np.round(self.scorer(self.model, self.X_train, self.y_train), 3) - self.test_score = np.round(self.scorer(self.model, self.X_test, self.y_test), 3) + self.train_score = np.round(self.scorer.score(self.model, self.X_train, self.y_train), 3) + self.test_score = np.round(self.scorer.score(self.model, self.X_test, self.y_test), 3) self.results_text = ( - f"Train {self.scoring}: {np.round(self.train_score, 3)},\n" - f"Test {self.scoring}: {np.round(self.test_score, 3)}." + f"Train {self.scorer.metric_name}: {np.round(self.train_score, 3)},\n" + f"Test {self.scorer.metric_name}: {np.round(self.test_score, 3)}." ) if self.verbose > 1: logger.info(f"Finished model training: \n{self.results_text}") @@ -166,7 +164,7 @@ def fit(self, X1, X2, column_names=None, class_names=None): if self.verbose > 0: if self.train_score > self.test_score: warnings.warn( - f"Train {self.scoring} > Test {self.scoring}, which might indicate " + f"Train {self.scorer.metric_name} > Test {self.scorer.metric_name}, which might indicate " f"an overfit. \n Strong overfit might lead to misleading conclusions when analysing " f"feature importance. Consider retraining with more regularization applied to the model." ) @@ -386,7 +384,7 @@ def fit(self, X1, X2, column_names=None, class_names=None): self.model, self.X_test, self.y_test, - scoring=self.scorer, + scoring=self.scorer.scorer, n_repeats=self.iterations, n_jobs=self.n_jobs, ) diff --git a/probatus/utils/__init__.py b/probatus/utils/__init__.py index 24a3aa28..99ec7347 100644 --- a/probatus/utils/__init__.py +++ b/probatus/utils/__init__.py @@ -5,20 +5,23 @@ preprocess_data, preprocess_labels, ) +from .scoring import Scorer, get_single_scorer from .shap_helpers import shap_calc, shap_to_df, calculate_shap_importance from ._utils import assure_list_of_strings from .base_class_interface import BaseFitComputeClass, BaseFitComputePlotClass __all__ = [ - "NotFittedError", - "assure_pandas_df", "assure_list_of_strings", - "shap_calc", - "shap_to_df", - "calculate_shap_importance", + "assure_pandas_df", "assure_pandas_series", "preprocess_data", "preprocess_labels", "BaseFitComputeClass", "BaseFitComputePlotClass", + "NotFittedError", + "get_single_scorer", + "Scorer", + "shap_calc", + "shap_to_df", + "calculate_shap_importance", ] diff --git a/probatus/utils/scoring.py b/probatus/utils/scoring.py new file mode 100644 index 00000000..978699e4 --- /dev/null +++ b/probatus/utils/scoring.py @@ -0,0 +1,103 @@ +from sklearn.metrics import get_scorer + + +def get_single_scorer(scoring): + """ + Returns Scorer, based on provided input in scoring argument. + + Args: + scoring (string or probatus.utils.Scorer, optional): + Metric for which the model performance is calculated. It can be either a metric name aligned with + predefined classification scorers names in sklearn + ([link](https://scikit-learn.org/stable/modules/model_evaluation.html)). + Another option is using probatus.utils.Scorer to define a custom metric. + + Returns: + (probatus.utils.Scorer): + Scorer that can be used for scoring models + """ + if isinstance(scoring, str): + return Scorer(scoring) + elif isinstance(scoring, Scorer): + return scoring + else: + raise (ValueError("The scoring should contain either strings or probatus.utils.Scorer class")) + + +class Scorer: + """ + Scores a given machine learning model based on the provided metric name and optionally a custom scoring function. + + Examples: + + ```python + from probatus.utils import Scorer + from sklearn.metrics import make_scorer + from sklearn.datasets import make_classification + from sklearn.model_selection import train_test_split + from sklearn.ensemble import RandomForestClassifier + import pandas as pd + + # Make ROC AUC scorer + scorer1 = Scorer('roc_auc') + + # Make custom scorer with following function: + def custom_metric(y_true, y_pred): + return (y_true == y_pred).sum() + scorer2 = Scorer('custom_metric', custom_scorer=make_scorer(custom_metric)) + + # Prepare two samples + feature_names = ['f1', 'f2', 'f3', 'f4'] + X, y = make_classification(n_samples=1000, n_features=4, random_state=0) + X = pd.DataFrame(X, columns=feature_names) + X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) + + # Prepare and fit model. Remember about class_weight="balanced" or an equivalent. + model = RandomForestClassifier(class_weight='balanced', n_estimators = 100, max_depth=2, random_state=0) + model = model.fit(X_train, y_train) + + # Score model + score_test_scorer1 = scorer1.score(model, X_test, y_test) + score_test_scorer2 = scorer2.score(model, X_test, y_test) + + print(f'Test ROC AUC is {score_test_scorer1}, Test {scorer2.metric_name} is {score_test_scorer2}') + ``` + """ + + def __init__(self, metric_name, custom_scorer=None): + """ + Initializes the class. + + Args: + metric_name (str): Name of the metric used to evaluate the model. + If the custom_scorer is not passed, the + metric name needs to be aligned with classification scorers names in sklearn + ([link](https://scikit-learn.org/stable/modules/model_evaluation.html)). + custom_scorer (sklearn.metrics Scorer callable, optional): Callable + that can score samples. + """ + self.metric_name = metric_name + if custom_scorer is not None: + self.scorer = custom_scorer + else: + self.scorer = get_scorer(self.metric_name) + + def score(self, model, X, y): + """ + Scores the samples model based on the provided metric name. + + Args + model (model object): + Model to be scored. + + X (array-like of shape (n_samples,n_features)): + Samples on which the model is scored. + + y (array-like of shape (n_samples,)): + Labels on which the model is scored. + + Returns: + (float): + Score returned by the model + """ + return self.scorer(model, X, y) diff --git a/tests/docs/test_docstring.py b/tests/docs/test_docstring.py index d7770887..70e98ff9 100644 --- a/tests/docs/test_docstring.py +++ b/tests/docs/test_docstring.py @@ -21,6 +21,7 @@ probatus.interpret.DependencePlotter, probatus.sample_similarity.SHAPImportanceResemblance, probatus.sample_similarity.PermutationImportanceResemblance, + probatus.utils.Scorer, ] CLASSES_TO_TEST_LGBM = [ From f14a1d8f2ab7cd34f4616152aec6ffef8070d0cc Mon Sep 17 00:00:00 2001 From: Reinier Koops Date: Fri, 22 Mar 2024 20:12:02 +0100 Subject: [PATCH 3/3] speed up (only for big use-cases with many features --- probatus/feature_elimination/__init__.py | 3 +- .../early_stopping_feature_elimination.py | 543 ++++++++ .../feature_elimination.py | 1224 +++++------------ 3 files changed, 889 insertions(+), 881 deletions(-) create mode 100644 probatus/feature_elimination/early_stopping_feature_elimination.py diff --git a/probatus/feature_elimination/__init__.py b/probatus/feature_elimination/__init__.py index 0dc708da..da1bde3e 100644 --- a/probatus/feature_elimination/__init__.py +++ b/probatus/feature_elimination/__init__.py @@ -1,3 +1,4 @@ -from .feature_elimination import ShapRFECV, EarlyStoppingShapRFECV +from .feature_elimination import ShapRFECV +from .early_stopping_feature_elimination import EarlyStoppingShapRFECV __all__ = ["ShapRFECV", "EarlyStoppingShapRFECV"] diff --git a/probatus/feature_elimination/early_stopping_feature_elimination.py b/probatus/feature_elimination/early_stopping_feature_elimination.py new file mode 100644 index 00000000..cbc76e7f --- /dev/null +++ b/probatus/feature_elimination/early_stopping_feature_elimination.py @@ -0,0 +1,543 @@ +import warnings + +from probatus.utils import ( + shap_calc, +) +from probatus.feature_elimination import ShapRFECV + + +class EarlyStoppingShapRFECV(ShapRFECV): + """ + This class performs Backwards Recursive Feature Elimination, using SHAP feature importance. + + This is a child of ShapRFECV which allows early stopping of the training step, this class is compatible with + LightGBM, XGBoost and CatBoost models. If you are not using early stopping, you should use the parent class, + ShapRFECV, instead of EarlyStoppingShapRFECV. + + [Early stopping](https://en.wikipedia.org/wiki/Early_stopping) is a type of + regularization technique in which the model is trained until the scoring metric, measured on a validation set, + stops improving after a number of early_stopping_rounds. In boosted tree models, this technique can increase + the training speed, by skipping the training of trees that do not improve the scoring metric any further, + which is particularly useful when the training dataset is large. + + Note that if the regressor or classifier is a hyperparameter search model is used, the early stopping parameter is passed only + to the fit method of the model duiring the Shapley values estimation step, and not for the hyperparameter + search step. + Early stopping can be seen as a type of regularization of the optimal number of trees. Therefore you can use + it directly with a LightGBM or XGBoost model, as an alternative to a hyperparameter search model. + + At each round, for a + given feature set, starting from all available features, the following steps are applied: + + 1. (Optional) Tune the hyperparameters of the model using sklearn compatible search CV e.g. + [GridSearchCV](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoCV.html), + [RandomizedSearchCV](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html?highlight=randomized#sklearn.model_selection.RandomizedSearchCV), or + [BayesSearchCV](https://scikit-optimize.github.io/stable/modules/generated/skopt.BayesSearchCV.html). + Note that during this step the model does not use early stopping. + 2. Apply Cross-validation (CV) to estimate the SHAP feature importance on the provided dataset. In each CV + iteration, the model is fitted on the train folds, and applied on the validation fold to estimate + SHAP feature importance. The model is trained until the scoring metric eval_metric, measured on the + validation fold, stops improving after a number of early_stopping_rounds. + 3. Remove `step` lowest SHAP importance features from the dataset. + + At the end of the process, the user can plot the performance of the model for each iteration, and select the + optimal number of features and the features set. + + We recommend using [LGBMClassifier](https://lightgbm.readthedocs.io/en/latest/pythonapi/lightgbm.LGBMClassifier.html), + because by default it handles missing values and categorical features. In case of other models, make sure to + handle these issues for your dataset and consider impact it might have on features importance. + + + Example: + ```python + from lightgbm import LGBMClassifier + import pandas as pd + from probatus.feature_elimination import EarlyStoppingShapRFECV + from sklearn.datasets import make_classification + + feature_names = [ + 'f1', 'f2', 'f3', 'f4', 'f5', 'f6', 'f7', + 'f8', 'f9', 'f10', 'f11', 'f12', 'f13', + 'f14', 'f15', 'f16', 'f17', 'f18', 'f19', 'f20'] + + # Prepare two samples + X, y = make_classification(n_samples=200, class_sep=0.05, n_informative=6, n_features=20, + random_state=0, n_redundant=10, n_clusters_per_class=1) + X = pd.DataFrame(X, columns=feature_names) + + # Prepare model + model = LGBMClassifier(n_estimators=200, max_depth=3) + + # Run feature elimination + shap_elimination = EarlyStoppingShapRFECV( + model=model, step=0.2, cv=10, scoring='roc_auc', early_stopping_rounds=10, n_jobs=3) + report = shap_elimination.fit_compute(X, y) + + # Make plots + performance_plot = shap_elimination.plot() + + # Get final feature set + final_features_set = shap_elimination.get_reduced_features_set(num_features=3) + ``` + + + """ # noqa + + def __init__( + self, + model, + step=1, + min_features_to_select=1, + cv=None, + scoring="roc_auc", + n_jobs=-1, + verbose=0, + random_state=None, + early_stopping_rounds=5, + eval_metric="auc", + ): + """ + This method initializes the class. + + Args: + model (sklearn compatible classifier or regressor, sklearn compatible search CV e.g. GridSearchCV, RandomizedSearchCV or BayesSearchCV): + A model that will be optimized and trained at each round of features elimination. The model must + support early stopping of training, which is the case for XGBoost and LightGBM, for example. The + recommended model is [LGBMClassifier](https://lightgbm.readthedocs.io/en/latest/pythonapi/lightgbm.LGBMClassifier.html), + because it by default handles the missing values and categorical variables. This parameter also supports + any hyperparameter search schema that is consistent with the sklearn API e.g. + [GridSearchCV](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html), + [RandomizedSearchCV](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html) + or [BayesSearchCV](https://scikit-optimize.github.io/stable/modules/generated/skopt.BayesSearchCV.html#skopt.BayesSearchCV). + Note that if a hyperparemeter search model is used, the hyperparameters are tuned without early + stopping. Early stopping is applied only during the Shapley values estimation for feature + elimination. We recommend simply passing the model without hyperparameter optimization, or using + ShapRFECV without early stopping. + + + step (int or float, optional): + Number of lowest importance features removed each round. If it is an int, then each round such number of + features is discarded. If float, such percentage of remaining features (rounded down) is removed each + iteration. It is recommended to use float, since it is faster for a large number of features, and slows + down and becomes more precise towards less features. Note: the last round may remove fewer features in + order to reach min_features_to_select. + If columns_to_keep parameter is specified in the fit method, step is the number of features to remove after + keeping those columns. + + min_features_to_select (int, optional): + Minimum number of features to be kept. This is a stopping criterion of the feature elimination. By + default the process stops when one feature is left. If columns_to_keep is specified in the fit method, + it may override this parameter to the maximum between length of columns_to_keep the two. + + cv (int, cross-validation generator or an iterable, optional): + Determines the cross-validation splitting strategy. Compatible with sklearn + [cv parameter](https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html). + If None, then cv of 5 is used. + + scoring (string or probatus.utils.Scorer, optional): + Metric for which the model performance is calculated. It can be either a metric name aligned with predefined + [classification scorers names in sklearn](https://scikit-learn.org/stable/modules/model_evaluation.html). + Another option is using probatus.utils.Scorer to define a custom metric. + + n_jobs (int, optional): + Number of cores to run in parallel while fitting across folds. None means 1 unless in a + `joblib.parallel_backend` context. -1 means using all processors. + + verbose (int, optional): + Controls verbosity of the output: + + - 0 - neither prints nor warnings are shown + - 1 - only most important warnings + - 2 - shows all prints and all warnings. + + random_state (int, optional): + Random state set at each round of feature elimination. If it is None, the results will not be + reproducible and in random search at each iteration a different hyperparameters might be tested. For + reproducible results set it to integer. + + early_stopping_rounds (int, optional): + Number of rounds with constant performance after which the model fitting stops. This is passed to the + fit method of the model for Shapley values estimation, but not for hyperparameter search. Only + supported by some models, such as XGBoost and LightGBM. + + eval_metric (str, optional): + Metric for scoring fitting rounds and activating early stopping. This is passed to the + fit method of the model for Shapley values estimation, but not for hyperparameter search. Only + supported by some models, such as [XGBoost](https://xgboost.readthedocs.io/en/latest/parameter.html#learning-task-parameters) + and [LightGBM](https://lightgbm.readthedocs.io/en/latest/Parameters.html#metric-parameters). + Note that `eval_metric` is an argument of the model's fit method and it is different from `scoring`. + """ # noqa + super().__init__( + model, + step=step, + min_features_to_select=min_features_to_select, + cv=cv, + scoring=scoring, + n_jobs=n_jobs, + verbose=verbose, + random_state=random_state, + ) + + if self.search_model and self.verbose > 0: + warnings.warn( + "Early stopping will be used only during Shapley value" + " estimation step, and not for hyperparameter" + " optimization." + ) + + if not isinstance(early_stopping_rounds, int) or early_stopping_rounds <= 0: + raise ValueError( + f"The current value of early_stopping_rounds =" + f" {early_stopping_rounds} is not allowed." + f" It needs to be a positive integer." + ) + + self.early_stopping_rounds = early_stopping_rounds + self.eval_metric = eval_metric + + def _get_fit_params_lightGBM( + self, X_train, y_train, X_val, y_val, sample_weight=None, train_index=None, val_index=None + ): + """Get the fit parameters for for a LightGBM Model. + + Args: + + X_train (pd.DataFrame): + Train Dataset used in CV. + + y_train (pd.Series): + Train labels for X. + + X_val (pd.DataFrame): + Validation Dataset used in CV. + + y_val (pd.Series): + Validation labels for X. + + sample_weight (pd.Series, np.ndarray, list, optional): + array-like of shape (n_samples,) - only use if the model you're using supports + sample weighting (check the corresponding scikit-learn documentation). + Array of weights that are assigned to individual samples. + Note that they're only used for fitting of the model, not during evaluation of metrics. + If not provided, then each sample is given unit weight. + + train_index (np.array): + Positions of train folds samples. + + val_index (np.array): + Positions of validation fold samples. + + Raises: + ValueError: if the model is not supported. + + Returns: + dict: fit parameters + """ + from lightgbm import early_stopping, log_evaluation + + fit_params = { + "X": X_train, + "y": y_train, + "eval_set": [(X_val, y_val)], + "callbacks": [ + early_stopping(self.early_stopping_rounds, first_metric_only=True), + log_evaluation(1 if self.verbose >= 2 else 0), + ], + } + + if sample_weight is not None: + fit_params["sample_weight"] = sample_weight.iloc[train_index] + fit_params["eval_sample_weight"] = [sample_weight.iloc[val_index]] + + return fit_params + + def _get_fit_params_XGBoost( + self, X_train, y_train, X_val, y_val, sample_weight=None, train_index=None, val_index=None + ): + """Get the fit parameters for for a XGBoost Model. + + Args: + + X_train (pd.DataFrame): + Train Dataset used in CV. + + y_train (pd.Series): + Train labels for X. + + X_val (pd.DataFrame): + Validation Dataset used in CV. + + y_val (pd.Series): + Validation labels for X. + + sample_weight (pd.Series, np.ndarray, list, optional): + array-like of shape (n_samples,) - only use if the model you're using supports + sample weighting (check the corresponding scikit-learn documentation). + Array of weights that are assigned to individual samples. + Note that they're only used for fitting of the model, not during evaluation of metrics. + If not provided, then each sample is given unit weight. + + train_index (np.array): + Positions of train folds samples. + + val_index (np.array): + Positions of validation fold samples. + + Raises: + ValueError: if the model is not supported. + + Returns: + dict: fit parameters + """ + fit_params = { + "X": X_train, + "y": y_train, + "eval_set": [(X_val, y_val)], + } + if sample_weight is not None: + fit_params["sample_weight"] = sample_weight.iloc[train_index] + fit_params["eval_sample_weight"] = [sample_weight.iloc[val_index]] + + return fit_params + + def _get_fit_params_CatBoost( + self, X_train, y_train, X_val, y_val, sample_weight=None, train_index=None, val_index=None + ): + """Get the fit parameters for for a CatBoost Model. + + Args: + + X_train (pd.DataFrame): + Train Dataset used in CV. + + y_train (pd.Series): + Train labels for X. + + X_val (pd.DataFrame): + Validation Dataset used in CV. + + y_val (pd.Series): + Validation labels for X. + + sample_weight (pd.Series, np.ndarray, list, optional): + array-like of shape (n_samples,) - only use if the model you're using supports + sample weighting (check the corresponding scikit-learn documentation). + Array of weights that are assigned to individual samples. + Note that they're only used for fitting of the model, not during evaluation of metrics. + If not provided, then each sample is given unit weight. + + train_index (np.array): + Positions of train folds samples. + + val_index (np.array): + Positions of validation fold samples. + + Raises: + ValueError: if the model is not supported. + + Returns: + dict: fit parameters + """ + from catboost import Pool + + cat_features = [col for col in X_train.select_dtypes(include=["category"]).columns] + fit_params = { + "X": Pool(X_train, y_train, cat_features=cat_features), + "eval_set": Pool(X_val, y_val, cat_features=cat_features), + # Evaluation metric should be passed during initialization + } + if sample_weight is not None: + fit_params["X"].set_weight(sample_weight.iloc[train_index]) + fit_params["eval_set"].set_weight(sample_weight.iloc[val_index]) + + return fit_params + + def _get_fit_params( + self, model, X_train, y_train, X_val, y_val, sample_weight=None, train_index=None, val_index=None + ): + """Get the fit parameters for the specified classifier or regressor. + + Args: + model (classifier or regressor): + Model to be fitted on the train folds. + + X_train (pd.DataFrame): + Train Dataset used in CV. + + y_train (pd.Series): + Train labels for X. + + X_val (pd.DataFrame): + Validation Dataset used in CV. + + y_val (pd.Series): + Validation labels for X. + + sample_weight (pd.Series, np.ndarray, list, optional): + array-like of shape (n_samples,) - only use if the model you're using supports + sample weighting (check the corresponding scikit-learn documentation). + Array of weights that are assigned to individual samples. + Note that they're only used for fitting of the model, not during evaluation of metrics. + If not provided, then each sample is given unit weight. + + train_index (np.array): + Positions of train folds samples. + + val_index (np.array): + Positions of validation fold samples. + + Raises: + ValueError: if the model is not supported. + + Returns: + dict: fit parameters + """ + # The lightgbm and xgboost imports are temporarily placed here, until the tests on + # macOS have been fixed. + + try: + from lightgbm import LGBMModel + + if isinstance(model, LGBMModel): + return self._get_fit_params_lightGBM( + X_train=X_train, + y_train=y_train, + X_val=X_val, + y_val=y_val, + sample_weight=sample_weight, + train_index=train_index, + val_index=val_index, + ) + except ImportError: + pass + + try: + from xgboost.sklearn import XGBModel + + if isinstance(model, XGBModel): + return self._get_fit_params_XGBoost( + X_train=X_train, + y_train=y_train, + X_val=X_val, + y_val=y_val, + sample_weight=sample_weight, + train_index=train_index, + val_index=val_index, + ) + except ImportError: + pass + + try: + from catboost import CatBoost + + if isinstance(model, CatBoost): + return self._get_fit_params_CatBoost( + X_train=X_train, + y_train=y_train, + X_val=X_val, + y_val=y_val, + sample_weight=sample_weight, + train_index=train_index, + val_index=val_index, + ) + except ImportError: + pass + + raise ValueError("Model type not supported") + + def _get_feature_shap_values_per_fold( + self, + X, + y, + model, + train_index, + val_index, + sample_weight=None, + **shap_kwargs, + ): + """ + This function calculates the shap values on validation set, and Train and Val score. + + Args: + X (pd.DataFrame): + Dataset used in CV. + + y (pd.Series): + Labels for X. + + sample_weight (pd.Series, np.ndarray, list, optional): + array-like of shape (n_samples,) - only use if the model you're using supports + sample weighting (check the corresponding scikit-learn documentation). + Array of weights that are assigned to individual samples. + Note that they're only used for fitting of the model, not during evaluation of metrics. + If not provided, then each sample is given unit weight. + + model: + Classifier or regressor to be fitted on the train folds. + + train_index (np.array): + Positions of train folds samples. + + val_index (np.array): + Positions of validation fold samples. + + **shap_kwargs: + keyword arguments passed to + [shap.Explainer](https://shap.readthedocs.io/en/latest/generated/shap.Explainer.html#shap.Explainer). + It also enables `approximate` and `check_additivity` parameters, passed while calculating SHAP values. + The `approximate=True` causes less accurate, but faster SHAP values calculation, while + `check_additivity=False` disables the additivity check inside SHAP. + Returns: + (np.array, float, float): + Tuple with the results: Shap Values on validation fold, train score, validation score. + """ + X_train, X_val = X.iloc[train_index, :], X.iloc[val_index, :] + y_train, y_val = y.iloc[train_index], y.iloc[val_index] + + fit_params = self._get_fit_params( + model=model, + X_train=X_train, + y_train=y_train, + X_val=X_val, + y_val=y_val, + sample_weight=sample_weight, + train_index=train_index, + val_index=val_index, + ) + + # Due to deprecation issues (compatibility with Sklearn) set some params + # like below, instead of through fit(). + try: + from lightgbm import LGBMModel + + if isinstance(model, LGBMModel): + model.set_params(eval_metric=self.eval_metric) + except ImportError: + pass + + try: + from xgboost.sklearn import XGBModel + + if isinstance(model, XGBModel): + model.set_params(eval_metric=self.eval_metric, early_stopping_rounds=self.early_stopping_rounds) + except ImportError: + pass + + try: + from catboost import CatBoost + + if isinstance(model, CatBoost): + model.set_params(early_stopping_rounds=self.early_stopping_rounds) + except ImportError: + pass + + # Train the model + model = model.fit(**fit_params) + + # Score the model + score_train = self.scorer.score(model, X_train, y_train) + score_val = self.scorer.score(model, X_val, y_val) + + # Compute SHAP values + shap_values = shap_calc(model, X_val, verbose=self.verbose, random_state=self.random_state, **shap_kwargs) + return shap_values, score_train, score_val diff --git a/probatus/feature_elimination/feature_elimination.py b/probatus/feature_elimination/feature_elimination.py index 6bb51431..9ba09db7 100644 --- a/probatus/feature_elimination/feature_elimination.py +++ b/probatus/feature_elimination/feature_elimination.py @@ -166,8 +166,8 @@ def __init__( """ # noqa self.model = model self.search_model = isinstance(model, BaseSearchCV) - self.step = self.validate_step(step) - self.min_features_to_select = self.validate_min_features(min_features_to_select) + self.step = self._validate_step(step) + self.min_features_to_select = self._validate_min_features(min_features_to_select) self.cv = cv self.scorer = get_single_scorer(scoring) self.n_jobs = n_jobs @@ -175,183 +175,50 @@ def __init__( self.random_state = random_state self.report_df = pd.DataFrame() - @staticmethod - def validate_step(step): - if not isinstance(step, (int, float)) or step <= 0: - raise ValueError(f"Invalid step value: {step}. Must be a positive int or float.") - return step - - @staticmethod - def validate_min_features(min_features): - if not isinstance(min_features, int) or min_features <= 0: - raise ValueError(f"Invalid min_features_to_select value: {min_features}. Must be a positive int.") - return min_features - - def _get_current_features_to_remove(self, shap_importance_df, columns_to_keep=None): - """ - Implements the logic used to determine which features to remove. - - If step is a positive integer, - at each round step lowest SHAP importance features are selected. If it is a float, such percentage - of remaining features (rounded up) is removed each iteration. It is recommended to use float, since it is - faster for a large set of features, and slows down and becomes more precise with fewer features. - - Args: - shap_importance_df (pd.DataFrame): - DataFrame presenting SHAP importance of remaining features. - - Returns: - (list): - List of features to be removed at a given round. - """ - # Bounding the variable. - num_features_to_remove = 0 - - # If columns_to_keep is not None, exclude those columns and - # calculate features to remove. - if columns_to_keep is not None: - mask = shap_importance_df.index.isin(columns_to_keep) - shap_importance_df = shap_importance_df[~mask] - - # If the step is an int remove n features. - if isinstance(self.step, int): - num_features_to_remove = self._calculate_number_of_features_to_remove( - current_num_of_features=shap_importance_df.shape[0], - num_features_to_remove=self.step, - min_num_features_to_keep=self.min_features_to_select, - ) - # If the step is a float remove n * number features that are left, rounded down - elif isinstance(self.step, float): - current_step = int(np.floor(shap_importance_df.shape[0] * self.step)) - # The step after rounding down should be at least 1 - if current_step < 1: - current_step = 1 - - num_features_to_remove = self._calculate_number_of_features_to_remove( - current_num_of_features=shap_importance_df.shape[0], - num_features_to_remove=current_step, - min_num_features_to_keep=self.min_features_to_select, - ) - - if num_features_to_remove == 0: - return [] - else: - return shap_importance_df.iloc[-num_features_to_remove:].index.tolist() - - @staticmethod - def _calculate_number_of_features_to_remove( - current_num_of_features, - num_features_to_remove, - min_num_features_to_keep, - ): + def compute(self): """ - Calculates the number of features to be removed. - - Makes sure that after removal at least - min_num_features_to_keep are kept - - Args: - current_num_of_features (int): - Current number of features in the data. - - num_features_to_remove (int): - Number of features to be removed at this stage. + Checks if fit() method has been run. - min_num_features_to_keep (int): - Minimum number of features to be left after removal. + and computes the DataFrame with results of feature elimination for each round. Returns: - (int): - Number of features to be removed. - """ - # Calculate maximum nr of features that can be removed without dropping below - # `min_num_features_to_keep`. - nr_of_max_allowed_feature_removed = current_num_of_features - min_num_features_to_keep - - # Return smallest between `nr_of_max_allowed_feature_removed` and `num_features_to_remove` - return min(num_features_to_remove, nr_of_max_allowed_feature_removed) - - def _report_current_results( - self, - round_number, - current_features_set, - features_to_remove, - train_metric_mean, - train_metric_std, - val_metric_mean, - val_metric_std, - ): - """ - This function adds the results from a current iteration to the report. - - Args: - round_number (int): - Current number of the round. - - current_features_set (list of str): - Current list of features. - - features_to_remove (list of str): - List of features to be removed at the end of this iteration. - - train_metric_mean (float or int): - Mean scoring metric measured on train set during CV. - - train_metric_std (float or int): - Std scoring metric measured on train set during CV. - - val_metric_mean (float or int): - Mean scoring metric measured on validation set during CV. - - val_metric_std (float or int): - Std scoring metric measured on validation set during CV. + (pd.DataFrame): + DataFrame with results of feature elimination for each round. """ - current_results = { - "num_features": len(current_features_set), - "features_set": [current_features_set], - "eliminated_features": [features_to_remove], - "train_metric_mean": train_metric_mean, - "train_metric_std": train_metric_std, - "val_metric_mean": val_metric_mean, - "val_metric_std": val_metric_std, - } + self._check_if_fitted() - if self.report_df.empty: - self.report_df = pd.DataFrame(current_results, index=[round_number]) - else: - new_row = pd.DataFrame(current_results, index=[round_number]) - # Append new_row to self.report_df more efficiently - self.report_df = pd.concat([self.report_df, new_row]) + return self.report_df - def _get_feature_shap_values_per_fold( + def fit_compute( self, X, y, - model, - train_index, - val_index, sample_weight=None, + columns_to_keep=None, + column_names=None, + shap_variance_penalty_factor=None, **shap_kwargs, ): """ - This function calculates the shap values on validation set, and Train and Val score. + Fits the object with the provided data. + + The algorithm starts with the entire dataset, and then sequentially + eliminates features. If sklearn compatible search CV is passed as model e.g. + [GridSearchCV](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html), + [RandomizedSearchCV](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html) + or [BayesSearchCV](https://scikit-optimize.github.io/stable/modules/generated/skopt.BayesSearchCV.html), + the hyperparameter optimization is applied at each step of the elimination. + Then, the SHAP feature importance is calculated using Cross-Validation, + and `step` lowest importance features are removed. At the end, the + report containing results from each iteration is computed and returned to the user. Args: X (pd.DataFrame): - Dataset used in CV. + Provided dataset. y (pd.Series): Labels for X. - model (classifier or regressor): - Model to be fitted on the train folds. - - train_index (np.array): - Positions of train folds samples. - - val_index (np.array): - Positions of validation fold samples. - sample_weight (pd.Series, np.ndarray, list, optional): array-like of shape (n_samples,) - only use if the model you're using supports sample weighting (check the corresponding scikit-learn documentation). @@ -359,31 +226,42 @@ def _get_feature_shap_values_per_fold( Note that they're only used for fitting of the model, not during evaluation of metrics. If not provided, then each sample is given unit weight. + columns_to_keep (list of str, optional): + List of columns to keep. If given, these columns will not be eliminated. + + column_names (list of str, optional): + List of feature names of the provided samples. If provided it will be used to overwrite the existing + feature names. If not provided the existing feature names are used or default feature names are + generated. + + shap_variance_penalty_factor (int or float, optional): + Apply aggregation penalty when computing average of shap values for a given feature. + Results in a preference for features that have smaller standard deviation of shap + values (more coherent shap importance). Recommend value 0.5 - 1.0. + Formula: penalized_shap_mean = (mean_shap - (std_shap * shap_variance_penalty_factor)) + **shap_kwargs: keyword arguments passed to [shap.Explainer](https://shap.readthedocs.io/en/latest/generated/shap.Explainer.html#shap.Explainer). It also enables `approximate` and `check_additivity` parameters, passed while calculating SHAP values. The `approximate=True` causes less accurate, but faster SHAP values calculation, while `check_additivity=False` disables the additivity check inside SHAP. + Returns: - (np.array, float, float): - Tuple with the results: Shap Values on validation fold, train score, validation score. + (pd.DataFrame): + DataFrame containing results of feature elimination from each iteration. """ - X_train, X_val = X.iloc[train_index, :], X.iloc[val_index, :] - y_train, y_val = y.iloc[train_index], y.iloc[val_index] - - if sample_weight is not None: - model = model.fit(X_train, y_train, sample_weight=sample_weight.iloc[train_index]) - else: - model = model.fit(X_train, y_train) - - # Score the model - score_train = self.scorer.score(model, X_train, y_train) - score_val = self.scorer.score(model, X_val, y_val) - # Compute SHAP values - shap_values = shap_calc(model, X_val, verbose=self.verbose, random_state=self.random_state, **shap_kwargs) - return shap_values, score_train, score_val + self.fit( + X, + y, + sample_weight=sample_weight, + columns_to_keep=columns_to_keep, + column_names=column_names, + shap_variance_penalty_factor=shap_variance_penalty_factor, + **shap_kwargs, + ) + return self.compute() def fit( self, @@ -454,52 +332,37 @@ def fit( Returns: (ShapRFECV): Fitted object. """ - # TODO: Simplify implementation & refactor # Set seed for results reproducibility if self.random_state is not None: np.random.seed(self.random_state) - # If to columns_to_keep is not provided, then initialise it by an empty string. - # If provided check if all the elements in columns_to_keep are of type string. - if columns_to_keep is None: - len_columns_to_keep = 0 - else: - if all(isinstance(x, str) for x in columns_to_keep): - len_columns_to_keep = len(columns_to_keep) - else: - raise ( - ValueError( - "The current values of columns_to_keep are not allowed.All the elements should be strings." - ) - ) - - # If the columns_to_keep parameter is provided, check if they match the column names in the X. - if column_names is not None: - if all(x in column_names for x in list(X.columns)): - pass - else: - raise (ValueError("The column names in parameter columns_to_keep and column_names are not matching.")) - - # Check that the total number of columns to select is less than total number of columns in the data. - # only when both parameters are provided. - if column_names is not None and columns_to_keep is not None: - if (self.min_features_to_select + len_columns_to_keep) > len(self.column_names): - raise ValueError( - "Minimum features to select is greater than number of features." - "Lower the value for min_features_to_select or number of columns in columns_to_keep" - ) + # Initialise len_columns_to_keep based on columns_to_keep content validation + len_columns_to_keep = 0 + if columns_to_keep: + if not all(isinstance(x, str) for x in columns_to_keep): + raise ValueError("All elements in columns_to_keep must be strings.") + len_columns_to_keep = len(columns_to_keep) + + # Validate matching column names, if both columns_to_keep and column_names are provided + if column_names and not all(x in column_names for x in list(X.columns)): + raise ValueError("Column names in columns_to_keep and column_names do not match.") + + # Validate total number of columns to select against the total number of columns + if ( + column_names + and columns_to_keep + and (self.min_features_to_select + len_columns_to_keep) > len(self.column_names) + ): + raise ValueError("Minimum features to select plus columns_to_keep exceeds total number of features.") # Check shap_variance_penalty_factor has acceptable value - if shap_variance_penalty_factor is None: - _shap_variance_penalty_factor = 0 - elif ( - isinstance(shap_variance_penalty_factor, float) or isinstance(shap_variance_penalty_factor, int) - ) and shap_variance_penalty_factor >= 0: + if isinstance(shap_variance_penalty_factor, (float, int)) and shap_variance_penalty_factor >= 0: _shap_variance_penalty_factor = shap_variance_penalty_factor else: - warnings.warn( - "shap_variance_penalty_factor must be None, int or float. " "Setting shap_variance_penalty_factor = 0" - ) + if shap_variance_penalty_factor is not None: + warnings.warn( + "shap_variance_penalty_factor must be None, int or float. Setting shap_variance_penalty_factor = 0" + ) _shap_variance_penalty_factor = 0 self.X, self.column_names = preprocess_data(X, X_name="X", column_names=column_names, verbose=self.verbose) @@ -519,12 +382,9 @@ def fit( stopping_criteria = np.max([self.min_features_to_select, len_columns_to_keep]) # Setting up the min_features_to_select parameter. - if columns_to_keep is None: - pass - else: + if columns_to_keep is not None: self.min_features_to_select = 0 - # This ensures that, if columns_to_keep is provided , - # the last features remaining are only the columns_to_keep. + # Ensures that, if columns_to_keep is provided, the last features remaining are only the columns_to_keep. if self.verbose > 1: warnings.warn(f"Minimum features to select : {stopping_criteria}") @@ -533,13 +393,9 @@ def fit( # Get current dataset info current_features_set = remaining_features - if columns_to_keep is None: - # Keeps the original order, while removing duplicate elements - remaining_removeable_features = pd.Series(current_features_set).unique() - else: - # Keeps the original order, while removing duplicate elements - remaining_removeable_features = pd.Series(list(current_features_set) + columns_to_keep).unique() + remaining_removeable_features = list(dict.fromkeys(current_features_set + (columns_to_keep or []))) + # Current dataset current_X = self.X[remaining_removeable_features] # Set seed for results reproducibility @@ -568,29 +424,21 @@ def fit( ) if self.y.nunique() == 2 or is_regressor(current_model): - shap_values = np.vstack([current_result[0] for current_result in results_per_fold]) + shap_values = np.concatenate([current_result[0] for current_result in results_per_fold], axis=0) else: # multi-class case - shap_values = np.hstack([current_result[0] for current_result in results_per_fold]) + shap_values = np.concatenate([current_result[0] for current_result in results_per_fold], axis=1) scores_train = [current_result[1] for current_result in results_per_fold] scores_val = [current_result[2] for current_result in results_per_fold] # Calculate the shap features with remaining features and features to keep. - shap_importance_df = calculate_shap_importance( shap_values, remaining_removeable_features, shap_variance_penalty_factor=_shap_variance_penalty_factor ) - # Get features to remove - features_to_remove = self._get_current_features_to_remove( - shap_importance_df, columns_to_keep=columns_to_keep - ) - # Ensures the order of the first list is kept as it was originally, - # while removing elements which are present in both lists. - remaining_features = np.setdiff1d( - pd.Series(current_features_set).unique(), - pd.Series(features_to_remove).unique(), - assume_unique=True, + # Determine which features to keep and which to remove. + remaining_features, features_to_remove = self._filter_and_identify_features_based_on_importance( + shap_importance_df, columns_to_keep, current_features_set ) # Report results @@ -616,50 +464,237 @@ def fit( self.fitted = True return self - def compute(self): + def plot(self, show=True, **figure_kwargs): """ - Checks if fit() method has been run. + Generates plot of the model performance for each iteration of feature elimination. - and computes the DataFrame with results of feature elimination for each round. + Args: + show (bool, optional): + If True, the plots are showed to the user, otherwise they are not shown. Not showing plot can be useful, + when you want to edit the returned figure, before showing it. + + **figure_kwargs: + Keyword arguments that are passed to the plt.figure, at its initialization. Returns: - (pd.DataFrame): - DataFrame with results of feature elimination for each round. - """ - self._check_if_fitted() + (plt.figure): + Figure containing the performance plot. + """ + # Data preparation + num_features = self.report_df["num_features"] + train_mean = self.report_df["train_metric_mean"] + train_std = self.report_df["train_metric_std"] + val_mean = self.report_df["val_metric_mean"] + val_std = self.report_df["val_metric_std"] + x_ticks = list(reversed(num_features.tolist())) + + # Plotting + fig, ax = plt.subplots(**figure_kwargs) + + # Training performance + ax.plot(num_features, train_mean, label="Train Score") + ax.fill_between(num_features, train_mean - train_std, train_mean + train_std, alpha=0.3) + + # Validation performance + ax.plot(num_features, val_mean, label="Validation Score") + ax.fill_between(num_features, val_mean - val_std, val_mean + val_std, alpha=0.3) + + # Labels and title + ax.set_xlabel("Number of features") + ax.set_ylabel(f"Performance {self.scorer.metric_name}") + ax.set_title("Backwards Feature Elimination using SHAP & CV") + ax.legend(loc="lower left") + ax.invert_xaxis() + ax.set_xticks(x_ticks) + + # Display or close plot + if show: + plt.show() + else: + plt.close(fig) - return self.report_df + return fig - def fit_compute( + @staticmethod + def _validate_step(step): + if not isinstance(step, (int, float)) or step <= 0: + raise ValueError(f"Invalid step value: {step}. Must be a positive int or float.") + return step + + @staticmethod + def _validate_min_features(min_features): + if not isinstance(min_features, int) or min_features <= 0: + raise ValueError(f"Invalid min_features_to_select value: {min_features}. Must be a positive int.") + return min_features + + @staticmethod + def _calculate_number_of_features_to_remove( + current_num_of_features, + num_features_to_remove, + min_num_features_to_keep, + ): + """ + Calculates the number of features to be removed. + + Makes sure that after removal at least + min_num_features_to_keep are kept + + Args: + current_num_of_features (int): + Current number of features in the data. + + num_features_to_remove (int): + Number of features to be removed at this stage. + + min_num_features_to_keep (int): + Minimum number of features to be left after removal. + + Returns: + (int): + Number of features to be removed. + """ + # Calculate maximum nr of features that can be removed without dropping below + # `min_num_features_to_keep`. + nr_of_max_allowed_feature_removed = current_num_of_features - min_num_features_to_keep + + # Return smallest between `nr_of_max_allowed_feature_removed` and `num_features_to_remove` + return min(num_features_to_remove, nr_of_max_allowed_feature_removed) + + def _get_current_features_to_remove(self, shap_importance_df, columns_to_keep=None): + """ + Implements the logic used to determine which features to remove. + + If step is a positive integer, + at each round step lowest SHAP importance features are selected. If it is a float, such percentage + of remaining features (rounded up) is removed each iteration. It is recommended to use float, since it is + faster for a large set of features, and slows down and becomes more precise with fewer features. + + Args: + shap_importance_df (pd.DataFrame): + DataFrame presenting SHAP importance of remaining features. + + columns_to_keep Optional(list)L + A list of features that are kept. + + Returns: + (list): + List of features to be removed at a given round. + """ + # Bounding the variable. + num_features_to_remove = 0 + + # If columns_to_keep is not None, exclude those columns and + # calculate features to remove. + if columns_to_keep is not None: + mask = shap_importance_df.index.isin(columns_to_keep) + shap_importance_df = shap_importance_df[~mask] + + # If the step is an int remove n features. + if isinstance(self.step, int): + num_features_to_remove = self._calculate_number_of_features_to_remove( + current_num_of_features=shap_importance_df.shape[0], + num_features_to_remove=self.step, + min_num_features_to_keep=self.min_features_to_select, + ) + # If the step is a float remove n * number features that are left, rounded down + elif isinstance(self.step, float): + current_step = int(np.floor(shap_importance_df.shape[0] * self.step)) + # The step after rounding down should be at least 1 + if current_step < 1: + current_step = 1 + + num_features_to_remove = self._calculate_number_of_features_to_remove( + current_num_of_features=shap_importance_df.shape[0], + num_features_to_remove=current_step, + min_num_features_to_keep=self.min_features_to_select, + ) + + if num_features_to_remove == 0: + return [] + else: + return shap_importance_df.iloc[-num_features_to_remove:].index.tolist() + + def _report_current_results( + self, + round_number, + current_features_set, + features_to_remove, + train_metric_mean, + train_metric_std, + val_metric_mean, + val_metric_std, + ): + """ + This function adds the results from a current iteration to the report. + + Args: + round_number (int): + Current number of the round. + + current_features_set (list of str): + Current list of features. + + features_to_remove (list of str): + List of features to be removed at the end of this iteration. + + train_metric_mean (float or int): + Mean scoring metric measured on train set during CV. + + train_metric_std (float or int): + Std scoring metric measured on train set during CV. + + val_metric_mean (float or int): + Mean scoring metric measured on validation set during CV. + + val_metric_std (float or int): + Std scoring metric measured on validation set during CV. + """ + current_results = { + "num_features": len(current_features_set), + "features_set": [current_features_set], + "eliminated_features": [features_to_remove], + "train_metric_mean": train_metric_mean, + "train_metric_std": train_metric_std, + "val_metric_mean": val_metric_mean, + "val_metric_std": val_metric_std, + } + + if self.report_df.empty: + self.report_df = pd.DataFrame(current_results, index=[round_number]) + else: + new_row = pd.DataFrame(current_results, index=[round_number]) + # Append new_row to self.report_df more efficiently + self.report_df = pd.concat([self.report_df, new_row]) + + def _get_feature_shap_values_per_fold( self, X, y, + model, + train_index, + val_index, sample_weight=None, - columns_to_keep=None, - column_names=None, - shap_variance_penalty_factor=None, **shap_kwargs, ): """ - Fits the object with the provided data. - - The algorithm starts with the entire dataset, and then sequentially - eliminates features. If sklearn compatible search CV is passed as model e.g. - [GridSearchCV](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html), - [RandomizedSearchCV](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html) - or [BayesSearchCV](https://scikit-optimize.github.io/stable/modules/generated/skopt.BayesSearchCV.html), - the hyperparameter optimization is applied at each step of the elimination. - Then, the SHAP feature importance is calculated using Cross-Validation, - and `step` lowest importance features are removed. At the end, the - report containing results from each iteration is computed and returned to the user. + This function calculates the shap values on validation set, and Train and Val score. Args: X (pd.DataFrame): - Provided dataset. + Dataset used in CV. y (pd.Series): Labels for X. + model (classifier or regressor): + Model to be fitted on the train folds. + + train_index (np.array): + Positions of train folds samples. + + val_index (np.array): + Positions of validation fold samples. + sample_weight (pd.Series, np.ndarray, list, optional): array-like of shape (n_samples,) - only use if the model you're using supports sample weighting (check the corresponding scikit-learn documentation). @@ -667,42 +702,65 @@ def fit_compute( Note that they're only used for fitting of the model, not during evaluation of metrics. If not provided, then each sample is given unit weight. - columns_to_keep (list of str, optional): - List of columns to keep. If given, these columns will not be eliminated. - - column_names (list of str, optional): - List of feature names of the provided samples. If provided it will be used to overwrite the existing - feature names. If not provided the existing feature names are used or default feature names are - generated. - - shap_variance_penalty_factor (int or float, optional): - Apply aggregation penalty when computing average of shap values for a given feature. - Results in a preference for features that have smaller standard deviation of shap - values (more coherent shap importance). Recommend value 0.5 - 1.0. - Formula: penalized_shap_mean = (mean_shap - (std_shap * shap_variance_penalty_factor)) - **shap_kwargs: keyword arguments passed to [shap.Explainer](https://shap.readthedocs.io/en/latest/generated/shap.Explainer.html#shap.Explainer). It also enables `approximate` and `check_additivity` parameters, passed while calculating SHAP values. The `approximate=True` causes less accurate, but faster SHAP values calculation, while `check_additivity=False` disables the additivity check inside SHAP. + Returns: + (np.array, float, float): + Tuple with the results: Shap Values on validation fold, train score, validation score. + """ + X_train, X_val = X.iloc[train_index, :], X.iloc[val_index, :] + y_train, y_val = y.iloc[train_index], y.iloc[val_index] + + if sample_weight is not None: + model = model.fit(X_train, y_train, sample_weight=sample_weight.iloc[train_index]) + else: + model = model.fit(X_train, y_train) + + # Score the model + score_train = self.scorer.score(model, X_train, y_train) + score_val = self.scorer.score(model, X_val, y_val) + + # Compute SHAP values + shap_values = shap_calc(model, X_val, verbose=self.verbose, random_state=self.random_state, **shap_kwargs) + return shap_values, score_train, score_val + + def _filter_and_identify_features_based_on_importance( + self, shap_importance_df, columns_to_keep, current_features_set + ): + """ + Filters out features to be removed from the current feature set based on SHAP importance, + while maintaining the original order of the features. + + Args: + shap_importance_df (pd.DataFrame): + A DataFrame containing the SHAP importance of the features. + + columns_to_keep (list): + A list of column names that should not be removed, regardless of their + SHAP importance. + + current_features_set (list): + The current list of features from which features identified as + less important will be removed. This list's order is maintained in the + returned list of remaining features. Returns: - (pd.DataFrame): - DataFrame containing results of feature elimination from each iteration. + remaining_features, features_to_remove (list, list): The features to keep & those that are removed. """ + # Get features to remove based on SHAP importance and columns to keep + features_to_remove = self._get_current_features_to_remove(shap_importance_df, columns_to_keep=columns_to_keep) - self.fit( - X, - y, - sample_weight=sample_weight, - columns_to_keep=columns_to_keep, - column_names=column_names, - shap_variance_penalty_factor=shap_variance_penalty_factor, - **shap_kwargs, - ) - return self.compute() + # Convert features_to_remove to a set for O(1) lookup times + features_to_remove_set = set(features_to_remove) + + # Filter out the features to remove, maintaining the original order of current_features_set + remaining_features = [feature for feature in current_features_set if feature not in features_to_remove_set] + + return remaining_features, features_to_remove def get_reduced_features_set(self, num_features, standard_error_threshold=1.0, return_type="feature_names"): """ @@ -845,7 +903,6 @@ def _get_feature_names(self, num_features): # Assuming 'features_set' contains the list of feature names for the row return matching_rows.iloc[0]["features_set"] - @staticmethod def _get_feature_support(self, feature_names_selected): """ Helper function that takes feature_names_selected and returns a boolean mask representing the columns @@ -889,596 +946,3 @@ def _get_feature_ranking(self): ranking = [features_eliminated_dict[col] for col in self.column_names] return ranking - - def plot(self, show=True, **figure_kwargs): - """ - Generates plot of the model performance for each iteration of feature elimination. - - Args: - show (bool, optional): - If True, the plots are showed to the user, otherwise they are not shown. Not showing plot can be useful, - when you want to edit the returned axis, before showing it. - - **figure_kwargs: - Keyword arguments that are passed to the plt.figure, at its initialization. - - Returns: - (plt.axis): - Axis containing the performance plot. - """ - x_ticks = list(reversed(self.report_df["num_features"].tolist())) - - fig = plt.figure(**figure_kwargs) - - plt.plot( - self.report_df["num_features"], - self.report_df["train_metric_mean"], - label="Train Score", - ) - plt.fill_between( - pd.to_numeric(self.report_df.num_features, errors="coerce"), - self.report_df["train_metric_mean"] - self.report_df["train_metric_std"], - self.report_df["train_metric_mean"] + self.report_df["train_metric_std"], - alpha=0.3, - ) - - plt.plot( - self.report_df["num_features"], - self.report_df["val_metric_mean"], - label="Validation Score", - ) - plt.fill_between( - pd.to_numeric(self.report_df.num_features, errors="coerce"), - self.report_df["val_metric_mean"] - self.report_df["val_metric_std"], - self.report_df["val_metric_mean"] + self.report_df["val_metric_std"], - alpha=0.3, - ) - - plt.xlabel("Number of features") - plt.ylabel(f"Performance {self.scorer.metric_name}") - plt.title("Backwards Feature Elimination using SHAP & CV") - plt.legend(loc="lower left") - fig.axes[0].invert_xaxis() - fig.axes[0].set_xticks(x_ticks) - if show: - plt.show() - else: - plt.close() - return fig - - -class EarlyStoppingShapRFECV(ShapRFECV): - """ - This class performs Backwards Recursive Feature Elimination, using SHAP feature importance. - - This is a child of ShapRFECV which allows early stopping of the training step, this class is compatible with - LightGBM, XGBoost and CatBoost models. If you are not using early stopping, you should use the parent class, - ShapRFECV, instead of EarlyStoppingShapRFECV. - - [Early stopping](https://en.wikipedia.org/wiki/Early_stopping) is a type of - regularization technique in which the model is trained until the scoring metric, measured on a validation set, - stops improving after a number of early_stopping_rounds. In boosted tree models, this technique can increase - the training speed, by skipping the training of trees that do not improve the scoring metric any further, - which is particularly useful when the training dataset is large. - - Note that if the regressor or classifier is a hyperparameter search model is used, the early stopping parameter is passed only - to the fit method of the model duiring the Shapley values estimation step, and not for the hyperparameter - search step. - Early stopping can be seen as a type of regularization of the optimal number of trees. Therefore you can use - it directly with a LightGBM or XGBoost model, as an alternative to a hyperparameter search model. - - At each round, for a - given feature set, starting from all available features, the following steps are applied: - - 1. (Optional) Tune the hyperparameters of the model using sklearn compatible search CV e.g. - [GridSearchCV](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoCV.html), - [RandomizedSearchCV](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html?highlight=randomized#sklearn.model_selection.RandomizedSearchCV), or - [BayesSearchCV](https://scikit-optimize.github.io/stable/modules/generated/skopt.BayesSearchCV.html). - Note that during this step the model does not use early stopping. - 2. Apply Cross-validation (CV) to estimate the SHAP feature importance on the provided dataset. In each CV - iteration, the model is fitted on the train folds, and applied on the validation fold to estimate - SHAP feature importance. The model is trained until the scoring metric eval_metric, measured on the - validation fold, stops improving after a number of early_stopping_rounds. - 3. Remove `step` lowest SHAP importance features from the dataset. - - At the end of the process, the user can plot the performance of the model for each iteration, and select the - optimal number of features and the features set. - - We recommend using [LGBMClassifier](https://lightgbm.readthedocs.io/en/latest/pythonapi/lightgbm.LGBMClassifier.html), - because by default it handles missing values and categorical features. In case of other models, make sure to - handle these issues for your dataset and consider impact it might have on features importance. - - - Example: - ```python - from lightgbm import LGBMClassifier - import pandas as pd - from probatus.feature_elimination import EarlyStoppingShapRFECV - from sklearn.datasets import make_classification - - feature_names = [ - 'f1', 'f2', 'f3', 'f4', 'f5', 'f6', 'f7', - 'f8', 'f9', 'f10', 'f11', 'f12', 'f13', - 'f14', 'f15', 'f16', 'f17', 'f18', 'f19', 'f20'] - - # Prepare two samples - X, y = make_classification(n_samples=200, class_sep=0.05, n_informative=6, n_features=20, - random_state=0, n_redundant=10, n_clusters_per_class=1) - X = pd.DataFrame(X, columns=feature_names) - - # Prepare model - model = LGBMClassifier(n_estimators=200, max_depth=3) - - # Run feature elimination - shap_elimination = EarlyStoppingShapRFECV( - model=model, step=0.2, cv=10, scoring='roc_auc', early_stopping_rounds=10, n_jobs=3) - report = shap_elimination.fit_compute(X, y) - - # Make plots - performance_plot = shap_elimination.plot() - - # Get final feature set - final_features_set = shap_elimination.get_reduced_features_set(num_features=3) - ``` - - - """ # noqa - - def __init__( - self, - model, - step=1, - min_features_to_select=1, - cv=None, - scoring="roc_auc", - n_jobs=-1, - verbose=0, - random_state=None, - early_stopping_rounds=5, - eval_metric="auc", - ): - """ - This method initializes the class. - - Args: - model (sklearn compatible classifier or regressor, sklearn compatible search CV e.g. GridSearchCV, RandomizedSearchCV or BayesSearchCV): - A model that will be optimized and trained at each round of features elimination. The model must - support early stopping of training, which is the case for XGBoost and LightGBM, for example. The - recommended model is [LGBMClassifier](https://lightgbm.readthedocs.io/en/latest/pythonapi/lightgbm.LGBMClassifier.html), - because it by default handles the missing values and categorical variables. This parameter also supports - any hyperparameter search schema that is consistent with the sklearn API e.g. - [GridSearchCV](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html), - [RandomizedSearchCV](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html) - or [BayesSearchCV](https://scikit-optimize.github.io/stable/modules/generated/skopt.BayesSearchCV.html#skopt.BayesSearchCV). - Note that if a hyperparemeter search model is used, the hyperparameters are tuned without early - stopping. Early stopping is applied only during the Shapley values estimation for feature - elimination. We recommend simply passing the model without hyperparameter optimization, or using - ShapRFECV without early stopping. - - - step (int or float, optional): - Number of lowest importance features removed each round. If it is an int, then each round such number of - features is discarded. If float, such percentage of remaining features (rounded down) is removed each - iteration. It is recommended to use float, since it is faster for a large number of features, and slows - down and becomes more precise towards less features. Note: the last round may remove fewer features in - order to reach min_features_to_select. - If columns_to_keep parameter is specified in the fit method, step is the number of features to remove after - keeping those columns. - - min_features_to_select (int, optional): - Minimum number of features to be kept. This is a stopping criterion of the feature elimination. By - default the process stops when one feature is left. If columns_to_keep is specified in the fit method, - it may override this parameter to the maximum between length of columns_to_keep the two. - - cv (int, cross-validation generator or an iterable, optional): - Determines the cross-validation splitting strategy. Compatible with sklearn - [cv parameter](https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html). - If None, then cv of 5 is used. - - scoring (string or probatus.utils.Scorer, optional): - Metric for which the model performance is calculated. It can be either a metric name aligned with predefined - [classification scorers names in sklearn](https://scikit-learn.org/stable/modules/model_evaluation.html). - Another option is using probatus.utils.Scorer to define a custom metric. - - n_jobs (int, optional): - Number of cores to run in parallel while fitting across folds. None means 1 unless in a - `joblib.parallel_backend` context. -1 means using all processors. - - verbose (int, optional): - Controls verbosity of the output: - - - 0 - neither prints nor warnings are shown - - 1 - only most important warnings - - 2 - shows all prints and all warnings. - - random_state (int, optional): - Random state set at each round of feature elimination. If it is None, the results will not be - reproducible and in random search at each iteration a different hyperparameters might be tested. For - reproducible results set it to integer. - - early_stopping_rounds (int, optional): - Number of rounds with constant performance after which the model fitting stops. This is passed to the - fit method of the model for Shapley values estimation, but not for hyperparameter search. Only - supported by some models, such as XGBoost and LightGBM. - - eval_metric (str, optional): - Metric for scoring fitting rounds and activating early stopping. This is passed to the - fit method of the model for Shapley values estimation, but not for hyperparameter search. Only - supported by some models, such as [XGBoost](https://xgboost.readthedocs.io/en/latest/parameter.html#learning-task-parameters) - and [LightGBM](https://lightgbm.readthedocs.io/en/latest/Parameters.html#metric-parameters). - Note that `eval_metric` is an argument of the model's fit method and it is different from `scoring`. - """ # noqa - super().__init__( - model, - step=step, - min_features_to_select=min_features_to_select, - cv=cv, - scoring=scoring, - n_jobs=n_jobs, - verbose=verbose, - random_state=random_state, - ) - - if self.search_model and self.verbose > 0: - warnings.warn( - "Early stopping will be used only during Shapley value" - " estimation step, and not for hyperparameter" - " optimization." - ) - - if not isinstance(early_stopping_rounds, int) or early_stopping_rounds <= 0: - raise ValueError( - f"The current value of early_stopping_rounds =" - f" {early_stopping_rounds} is not allowed." - f" It needs to be a positive integer." - ) - - self.early_stopping_rounds = early_stopping_rounds - self.eval_metric = eval_metric - - def _get_fit_params_lightGBM( - self, X_train, y_train, X_val, y_val, sample_weight=None, train_index=None, val_index=None - ): - """Get the fit parameters for for a LightGBM Model. - - Args: - - X_train (pd.DataFrame): - Train Dataset used in CV. - - y_train (pd.Series): - Train labels for X. - - X_val (pd.DataFrame): - Validation Dataset used in CV. - - y_val (pd.Series): - Validation labels for X. - - sample_weight (pd.Series, np.ndarray, list, optional): - array-like of shape (n_samples,) - only use if the model you're using supports - sample weighting (check the corresponding scikit-learn documentation). - Array of weights that are assigned to individual samples. - Note that they're only used for fitting of the model, not during evaluation of metrics. - If not provided, then each sample is given unit weight. - - train_index (np.array): - Positions of train folds samples. - - val_index (np.array): - Positions of validation fold samples. - - Raises: - ValueError: if the model is not supported. - - Returns: - dict: fit parameters - """ - from lightgbm import early_stopping, log_evaluation - - fit_params = { - "X": X_train, - "y": y_train, - "eval_set": [(X_val, y_val)], - "callbacks": [ - early_stopping(self.early_stopping_rounds, first_metric_only=True), - log_evaluation(1 if self.verbose >= 2 else 0), - ], - } - - if sample_weight is not None: - fit_params["sample_weight"] = sample_weight.iloc[train_index] - fit_params["eval_sample_weight"] = [sample_weight.iloc[val_index]] - - return fit_params - - def _get_fit_params_XGBoost( - self, X_train, y_train, X_val, y_val, sample_weight=None, train_index=None, val_index=None - ): - """Get the fit parameters for for a XGBoost Model. - - Args: - - X_train (pd.DataFrame): - Train Dataset used in CV. - - y_train (pd.Series): - Train labels for X. - - X_val (pd.DataFrame): - Validation Dataset used in CV. - - y_val (pd.Series): - Validation labels for X. - - sample_weight (pd.Series, np.ndarray, list, optional): - array-like of shape (n_samples,) - only use if the model you're using supports - sample weighting (check the corresponding scikit-learn documentation). - Array of weights that are assigned to individual samples. - Note that they're only used for fitting of the model, not during evaluation of metrics. - If not provided, then each sample is given unit weight. - - train_index (np.array): - Positions of train folds samples. - - val_index (np.array): - Positions of validation fold samples. - - Raises: - ValueError: if the model is not supported. - - Returns: - dict: fit parameters - """ - fit_params = { - "X": X_train, - "y": y_train, - "eval_set": [(X_val, y_val)], - } - if sample_weight is not None: - fit_params["sample_weight"] = sample_weight.iloc[train_index] - fit_params["eval_sample_weight"] = [sample_weight.iloc[val_index]] - - return fit_params - - def _get_fit_params_CatBoost( - self, X_train, y_train, X_val, y_val, sample_weight=None, train_index=None, val_index=None - ): - """Get the fit parameters for for a CatBoost Model. - - Args: - - X_train (pd.DataFrame): - Train Dataset used in CV. - - y_train (pd.Series): - Train labels for X. - - X_val (pd.DataFrame): - Validation Dataset used in CV. - - y_val (pd.Series): - Validation labels for X. - - sample_weight (pd.Series, np.ndarray, list, optional): - array-like of shape (n_samples,) - only use if the model you're using supports - sample weighting (check the corresponding scikit-learn documentation). - Array of weights that are assigned to individual samples. - Note that they're only used for fitting of the model, not during evaluation of metrics. - If not provided, then each sample is given unit weight. - - train_index (np.array): - Positions of train folds samples. - - val_index (np.array): - Positions of validation fold samples. - - Raises: - ValueError: if the model is not supported. - - Returns: - dict: fit parameters - """ - from catboost import Pool - - cat_features = [col for col in X_train.select_dtypes(include=["category"]).columns] - fit_params = { - "X": Pool(X_train, y_train, cat_features=cat_features), - "eval_set": Pool(X_val, y_val, cat_features=cat_features), - # Evaluation metric should be passed during initialization - } - if sample_weight is not None: - fit_params["X"].set_weight(sample_weight.iloc[train_index]) - fit_params["eval_set"].set_weight(sample_weight.iloc[val_index]) - - return fit_params - - def _get_fit_params( - self, model, X_train, y_train, X_val, y_val, sample_weight=None, train_index=None, val_index=None - ): - """Get the fit parameters for the specified classifier or regressor. - - Args: - model (classifier or regressor): - Model to be fitted on the train folds. - - X_train (pd.DataFrame): - Train Dataset used in CV. - - y_train (pd.Series): - Train labels for X. - - X_val (pd.DataFrame): - Validation Dataset used in CV. - - y_val (pd.Series): - Validation labels for X. - - sample_weight (pd.Series, np.ndarray, list, optional): - array-like of shape (n_samples,) - only use if the model you're using supports - sample weighting (check the corresponding scikit-learn documentation). - Array of weights that are assigned to individual samples. - Note that they're only used for fitting of the model, not during evaluation of metrics. - If not provided, then each sample is given unit weight. - - train_index (np.array): - Positions of train folds samples. - - val_index (np.array): - Positions of validation fold samples. - - Raises: - ValueError: if the model is not supported. - - Returns: - dict: fit parameters - """ - # The lightgbm and xgboost imports are temporarily placed here, until the tests on - # macOS have been fixed. - - try: - from lightgbm import LGBMModel - - if isinstance(model, LGBMModel): - return self._get_fit_params_lightGBM( - X_train=X_train, - y_train=y_train, - X_val=X_val, - y_val=y_val, - sample_weight=sample_weight, - train_index=train_index, - val_index=val_index, - ) - except ImportError: - pass - - try: - from xgboost.sklearn import XGBModel - - if isinstance(model, XGBModel): - return self._get_fit_params_XGBoost( - X_train=X_train, - y_train=y_train, - X_val=X_val, - y_val=y_val, - sample_weight=sample_weight, - train_index=train_index, - val_index=val_index, - ) - except ImportError: - pass - - try: - from catboost import CatBoost - - if isinstance(model, CatBoost): - return self._get_fit_params_CatBoost( - X_train=X_train, - y_train=y_train, - X_val=X_val, - y_val=y_val, - sample_weight=sample_weight, - train_index=train_index, - val_index=val_index, - ) - except ImportError: - pass - - raise ValueError("Model type not supported") - - def _get_feature_shap_values_per_fold( - self, - X, - y, - model, - train_index, - val_index, - sample_weight=None, - **shap_kwargs, - ): - """ - This function calculates the shap values on validation set, and Train and Val score. - - Args: - X (pd.DataFrame): - Dataset used in CV. - - y (pd.Series): - Labels for X. - - sample_weight (pd.Series, np.ndarray, list, optional): - array-like of shape (n_samples,) - only use if the model you're using supports - sample weighting (check the corresponding scikit-learn documentation). - Array of weights that are assigned to individual samples. - Note that they're only used for fitting of the model, not during evaluation of metrics. - If not provided, then each sample is given unit weight. - - model: - Classifier or regressor to be fitted on the train folds. - - train_index (np.array): - Positions of train folds samples. - - val_index (np.array): - Positions of validation fold samples. - - **shap_kwargs: - keyword arguments passed to - [shap.Explainer](https://shap.readthedocs.io/en/latest/generated/shap.Explainer.html#shap.Explainer). - It also enables `approximate` and `check_additivity` parameters, passed while calculating SHAP values. - The `approximate=True` causes less accurate, but faster SHAP values calculation, while - `check_additivity=False` disables the additivity check inside SHAP. - Returns: - (np.array, float, float): - Tuple with the results: Shap Values on validation fold, train score, validation score. - """ - X_train, X_val = X.iloc[train_index, :], X.iloc[val_index, :] - y_train, y_val = y.iloc[train_index], y.iloc[val_index] - - fit_params = self._get_fit_params( - model=model, - X_train=X_train, - y_train=y_train, - X_val=X_val, - y_val=y_val, - sample_weight=sample_weight, - train_index=train_index, - val_index=val_index, - ) - - # Due to deprecation issues (compatibility with Sklearn) set some params - # like below, instead of through fit(). - try: - from lightgbm import LGBMModel - - if isinstance(model, LGBMModel): - model.set_params(eval_metric=self.eval_metric) - except ImportError: - pass - - try: - from xgboost.sklearn import XGBModel - - if isinstance(model, XGBModel): - model.set_params(eval_metric=self.eval_metric, early_stopping_rounds=self.early_stopping_rounds) - except ImportError: - pass - - try: - from catboost import CatBoost - - if isinstance(model, CatBoost): - model.set_params(early_stopping_rounds=self.early_stopping_rounds) - except ImportError: - pass - - # Train the model - model = model.fit(**fit_params) - - # Score the model - score_train = self.scorer.score(model, X_train, y_train) - score_val = self.scorer.score(model, X_val, y_val) - - # Compute SHAP values - shap_values = shap_calc(model, X_val, verbose=self.verbose, random_state=self.random_state, **shap_kwargs) - return shap_values, score_train, score_val